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Paper Citation Record · LEDGER

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

As of 6 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 9 inbound Pith citation observations for arXiv:2604.04135.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.04135 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T16:54:34.457273Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:18:26.276827Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact19
  • verified fuzzy69
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3262e4e3-04cd-418d-bd4d-fe44d5b39a85 · outbound

This paper cites NTIRE 2026 nighttime image dehazing challenge report.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 nighttime image dehazing challenge report

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.262106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:e7027ca2f2347c9e6ad6ae3c318f0dba67b88ba946b1dccae084193618bc74c5

Observation 08116211-7cc1-45fb-b357-c03fb49259fd · outbound

This paper cites NTIRE 2026 challenge on single image reflec- tion removal in the wild: Datasets, results, and methods.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on single image reflec- tion removal in the wild: Datasets, results, and methods

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.257905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:841745522a55cf2be083ba4770867c9f33adb328407ab4d224f2c5a07c63dedd

Observation 80256b03-2cd8-43be-9707-d0469850d2bd · outbound

This paper cites Retinexformer: One-stage retinex- based transformer for low-light image enhancement.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Retinexformer: One-stage retinex- based transformer for low-light image enhancement

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.265863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:622a160b50a3977680d7f0b4203634aabc46bae571af0a59f9d5063b32388fc2

Observation efa16575-b1c9-4124-89a9-3fb25efb25ed · outbound

This paper cites GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.830210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:2d693a0fd42149c248426a0879ea996708cdfabe2a864d62e6c641da35805454

Observation 1b12062d-a990-43ec-b5d0-535ea2a52549 · outbound

This paper cites Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.818676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:20115a96a360ccfb52867eda0ef40d67d32df4838e14383815d9a06202c43f02

Observation e5c36e0e-c97e-4e90-8a1e-92ec54a61e9b · outbound

This paper cites Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.827307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:3ae40b1c7a20270f63a369c7ad3ea66cc3ccef6f65ff7d3befb21c2982f2c584

Observation 7f22c9ab-5b92-4355-a45b-f6f4d6f9cd8d · outbound

This paper cites A Survey on 3D Gaussian Splatting.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results A Survey on 3D Gaussian Splatting

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.790675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:bd523a7935649f057f2b93cabf424cd4f5a797a5661fc4544e4cf708e38e7fe7

Observation f1c03b86-e11b-4643-b24f-4fa311257ca3 · outbound

This paper cites DGGT: Feedforward 4d reconstruction of dynamic driving scenes using unposed images.arXiv preprint arXiv:2512.03004.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results DGGT: Feedforward 4d reconstruction of dynamic driving scenes using unposed images.arXiv preprint arXiv:2512.03004

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.815263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:e348bad5a178de491577d593145a6d03c28595d98dbcca0d1d75153c7d78b9e3

Observation f0e6d4b6-118a-4928-993d-bb5e462e7795 · outbound

This paper cites Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.823080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:367b8428c924ac7e16e4cdb0eda8158aed603176086193b10283fc4046edeefe

Observation 5cb8c363-ce85-4086-ac07-8a8f647de4e6 · outbound

This paper cites Low light image enhancement challenge at NTIRE 2026.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Low light image enhancement challenge at NTIRE 2026

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:43bce78a0bea38529ff55e837a3ac451fbd98dbd1919684a95e8bb450249c391

Observation 7bba6e39-dab3-4be3-9746-225fb1e03c14 · outbound

This paper cites High FPS video frame inter- polation challenge at NTIRE 2026.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results High FPS video frame inter- polation challenge at NTIRE 2026

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.282528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:72ed11be00b9b9a267d6889fa33ae4b33a14fa9faff5f7afa910487ee84d7ee9

Observation 2173fc47-ac8e-49e5-a6e5-19e23050788d · outbound

This paper cites Revitalizing convolutional network for image restoration.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Revitalizing convolutional network for image restoration

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.278691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:462be3cd64683247131f075d8dbf51ea8a1c730debdf7a034d6496baafda18f7

Observation ee0cbbd3-2a5d-4279-bf7f-65c0b6bf4b46 · outbound

This paper cites Eenet: An effective and efficient network for single image dehazing.pattern recognition, 158:111074.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Eenet: An effective and efficient network for single image dehazing.pattern recognition, 158:111074

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.317648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:d4eee190d07680c0c928c373812c6a3081eb2487801c68ad4eed77cf27bb76ca

Observation af30f5e5-3ecd-4636-97fc-4e47274931e2 · outbound

This paper cites Aleth-nerf: Illumination adaptive nerf with concealing field assumption.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Aleth-nerf: Illumination adaptive nerf with concealing field assumption

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.290515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:b892cf8a3083ead40d9d4ef3358fe2d7da34712b5697bfcffe35ce1f86e1caa2

Observation ed841df1-90b2-4f32-a239-2c436dd3eda3 · outbound

This paper cites Luminance-gs: Adapting 3d gaussian splatting to chal- lenging lighting conditions with view-adaptive curve adjustment.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Luminance-gs: Adapting 3d gaussian splatting to chal- lenging lighting conditions with view-adaptive curve adjustment

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.371237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:f36f226845c1e03690d2c3cc51032d09a7315459d7a476252ec708e6a2a1b6ff

Observation 8f490c73-45be-4047-b548-2186e9c667c2 · outbound

This paper cites Unifying color and lightness correction with view-adaptive curve ad- justment for robust 3d novel view synthesis.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Unifying color and lightness correction with view-adaptive curve ad- justment for robust 3d novel view synthesis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.796432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:aa9b506564789831422d1cbb3debe95e3776e662245311e32534fbf6e671ba4f

Observation fc5b3d76-41af-40aa-b96a-652ebd69bb01 · outbound

This paper cites Eap-gs: efficient augmenta- tion of pointcloud for 3d gaussian splatting in few-shot scene reconstruction.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Eap-gs: efficient augmenta- tion of pointcloud for 3d gaussian splatting in few-shot scene reconstruction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.309171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:02de4c0e61a88e8a3f7b4b6d03c6e3cfcb9073b6bdb3a7e5eb025dc7b05ac508

Observation f781a100-8219-4770-817c-38daf141e247 · outbound

This paper cites Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.383570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:0097be78cf9a5872f13815b3aa887a254824ab2746555e12fe9067ec098ab6d2

Observation dde6e674-362a-4d48-82f9-d43008ef44e9 · outbound

This paper cites 3d gaussian splatting as new era: A survey.IEEE Transactions on Visualization and Computer Graphics.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results 3d gaussian splatting as new era: A survey.IEEE Transactions on Visualization and Computer Graphics

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.387445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:397ab9e195e84b99a426865b9773459c8afeebd751e71fe5c8a93284f9d15dba

Observation b9d49527-830f-4ada-a966-81177fa25541 · outbound

This paper cites Darkir: Robust low-light image restoration.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Darkir: Robust low-light image restoration

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.305746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:504dbf1cd82b966562f95b9f55caac5b4b2ed59b1d9949470a3bd566dd147b6b

Observation 287eb830-9e98-4040-8630-91c81501d6e9 · outbound

This paper cites Efficient real-world deblurring using single images: AIM 2025 chal- lenge report.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Efficient real-world deblurring using single images: AIM 2025 chal- lenge report

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.302219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:570f7350353d781f7a3750dffe84f9ad5f86264befb59876ecb315b61e457735

Observation b54f03f3-71af-4610-9986-7fe03adaf0fc · outbound

This paper cites SmokeGS-R: Physics-Guided Pseudo-Clean 3DGS for Real-World Multi-View Smoke Restoration.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results SmokeGS-R: Physics-Guided Pseudo-Clean 3DGS for Real-World Multi-View Smoke Restoration

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.781561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:85c8cbaeb72de45f6bf104ec70b133b21d3aa4c651928ce0669256a5017379df

Observation c12d9a75-d46c-42ef-a318-f1b83d8cb86e · outbound

This paper cites Dual-Branch Remote Sensing Infrared Image Super-Resolution.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Dual-Branch Remote Sensing Infrared Image Super-Resolution

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.787304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:59d6a62ebee9e2aecf44d1b4a056189b5b645c21b3ac9fa27157b01f2636513a

Observation d1cf371f-305e-488f-864e-6d173efc9ea8 · outbound

This paper cites CLIP-Guided Data Augmentation for Night-Time Image Dehazing.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results CLIP-Guided Data Augmentation for Night-Time Image Dehazing

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.805555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:7ff2856f634f8bfee3f36cc393e3280ade290e514dfb21675780ae975a97bd3a

Observation e509b2fa-9006-4813-8a2a-5818d280edd8 · outbound

This paper cites Zero-reference deep curve estimation for low-light image enhancement.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Zero-reference deep curve estimation for low-light image enhancement

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.269784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:e0963834cc6a1ad1aff73b28cbbf8e100fdc10be0b69b4112837f5a23f1465a3

Observation 4c380b8b-d2a0-43d5-aaba-1ad104a77bad · outbound

This paper cites Reliability-aware staged low-light gaussian splatting.ResearchGate preprint.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Reliability-aware staged low-light gaussian splatting.ResearchGate preprint

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.358279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:1f9aebae6a6c20f4c7d65a2f90315ab227f2da6a85512c8f4eb106e2abd1a5e6

Observation 184686e1-fa33-4448-82a5-9732c9aeff9b · outbound

This paper cites NTIRE 2026 challenge on robust AI-generated image detection in the wild.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on robust AI-generated image detection in the wild

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.379615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:ca37a56e3e3f07fa8b37d890d48dcb824e347c9a2fdaf1d49cb2c68ea8f7d328

Observation ab6892cc-2a38-4050-80ca-70811c1923ce · outbound

This paper cites Faster-gs: Analyzing and improv- ing gaussian splatting optimization.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Faster-gs: Analyzing and improv- ing gaussian splatting optimization

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.833983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:8e97476547600be6b4b0932d1de6c1f04218e89e13b0ab334ffd095bcbfd374d

Observation 852f36b9-5737-4f1d-81c6-3621363703dc · outbound

This paper cites Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.362938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:5b8acdd0d0aa8c603b62fcae13e249dbd4cf790745a20e6500e2110a054ef960

Observation cb451821-f215-4926-a6db-9a128f11389f · outbound

This paper cites Robust deepfake detec- tion, NTIRE 2026 challenge: Report.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Robust deepfake detec- tion, NTIRE 2026 challenge: Report

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.337724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:b36bd5a41973cf3cdf0f6eae08f610ca1deece9e23665f7788fca5e459d569ec

Observation a3866c36-7cca-4c6f-a7e0-2b011d291bdb · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.375699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:4cce83b69bd2a98e8cfc23046f3476ec67da204ae3dbf1cd03aecac3643ce656

Observation bc238848-9b2d-4321-be50-0aeaa607c2f2 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.350142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:6eba4f1fc4a7ad21664c0a1f892d3455d67c19705caa2e0be180331dda2b39d9

Observation 59016827-0692-439b-8238-25447561e98e · outbound

This paper cites 3d gaussian splat- ting as markov chain monte carlo.Advances in Neural Infor- mation Processing Systems, 37:80965–80986.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results 3d gaussian splat- ting as markov chain monte carlo.Advances in Neural Infor- mation Processing Systems, 37:80965–80986

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.344885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:1dae2fa2ec4a430f079073aa9c341bc8a86566b9b4c4d6032981ae420c04f2a8

Observation f70d323f-8a10-4bc8-b484-3f31402c93a2 · outbound

This paper cites Efficient diffusion as low light enhancer.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Efficient diffusion as low light enhancer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.354102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:ac3489ef7978d29a5a35d19326908b6ebb4addf56549733b7b219d9636b0f4ff

Observation a8e4bcf8-d5dc-44ee-8b1f-0ac39e027946 · outbound

This paper cites Seathru- nerf: Neural radiance fields in scattering media.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Seathru- nerf: Neural radiance fields in scattering media

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.298675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:38aa0d63a50db82e6d13dd9e7df39a2ca4481deb48067cd871df10459a631a26

Observation 56f33d1b-75e3-42a0-899a-d61ec5a8296e · outbound

This paper cites Mair: A locality- and continuity- preserving mamba for image restoration.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Mair: A locality- and continuity- preserving mamba for image restoration

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.286522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:461201faeada404ba2d75bf519ea0c2950616c62845339d44859688a4fb39a47

Observation a914cbf0-fa33-4d72-82c4-afe145d4c147 · outbound

This paper cites Learning to enhance low-light image via zero-reference deep curve esti- mation.IEEE Transactions on Pattern Analysis and Machine Intelligence.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Learning to enhance low-light image via zero-reference deep curve esti- mation.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.333680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:3cbbf1c0882f2e21a9fad175a39dd15a017a409b37428f06bfd38f103e8737c2

Observation 2fc37977-5902-4ab6-a641-cc79320fe816 · outbound

This paper cites Watersplatting: Fast underwater 3d scene reconstruction using gaussian splatting.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Watersplatting: Fast underwater 3d scene reconstruction using gaussian splatting

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.294866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:3ae9918820adba843815ea92cbc124ff0d85cdb1b89729f4973b00ccae681c86

Observation 247463c5-57a2-461f-b5b4-3281f51a1816 · outbound

This paper cites The first challenge on mobile real-world image super- resolution at NTIRE 2026: Benchmark results and method overview.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The first challenge on mobile real-world image super- resolution at NTIRE 2026: Benchmark results and method overview

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.367142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:1c5e7bfa2a3756cbd9770fb2fd1d31f6eb8ade3ed32b59e6aa4007921ddef2c1

Observation 12af458a-ed8a-4e5a-a4e4-23f3420b67f7 · outbound

This paper cites Densesplat: Densifying gaussian splatting slam with neural radiance prior.IEEE Transactions on Visualization & Computer Graphics, (01):1–14.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Densesplat: Densifying gaussian splatting slam with neural radiance prior.IEEE Transactions on Visualization & Computer Graphics, (01):1–14

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.321817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:47e37a420ba26be47b6bf08306f62300f37021c89bb8f29cea9d5642eb30f4a5

Observation e3d320ba-7594-4835-8e31-b88d49937b19 · outbound

This paper cites Sgs-slam: Se- mantic gaussian splatting for neural dense slam.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Sgs-slam: Se- mantic gaussian splatting for neural dense slam

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.329636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:333807f33c160d46454d4f5c0a4cf4ad362a3f9bf3b01837f0c8ca12cf4cb439

Observation 08a55080-e058-4c0b-bde4-454531169283 · outbound

This paper cites NTIRE 2026 challenge on short-form UGC video restoration in the wild with generative models: Datasets, methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on short-form UGC video restoration in the wild with generative models: Datasets, methods and results

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.313296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:7b86eceaf6cd7f89adf0087df967d1597f86ce3a430fc5350023a9c1730fec47

Observation a4874e8d-d979-4a91-b999-442c35d1c8b8 · outbound

This paper cites NTIRE 2026 the second challenge on day and night raindrop removal for dual-focused images: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 the second challenge on day and night raindrop removal for dual-focused images: Methods and results

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.325849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:ea8b82b6dd710927119c54a2ccd32aebbd511d30a45628fd1ee8d790bd2fc7ef

Observation 86197632-344c-4e84-b8e5-76b96284c95a · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Depth Anything 3: Recovering the Visual Space from Any Views

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T17:08:01.801309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:84c2bfa95cfd5383b7a95bc4f1b373acfb7778dba556a1eec033f962ef5215a7

Observation 29a6eea4-5cbb-4026-9af0-041d64daa108 · outbound

This paper cites The first chal- lenge on remote sensing infrared image super-resolution at NTIRE 2026: Benchmark results and method overview.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The first chal- lenge on remote sensing infrared image super-resolution at NTIRE 2026: Benchmark results and method overview

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.274241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:71e0f7767da9aed91a3351636494f0c88a007ce8a3d643338fe6f67f110961c9

Observation b83c49ab-f7fc-4001-92d0-853536c6d6eb · outbound

This paper cites Deraings: Gaussian splatting for enhanced scene reconstruction in rainy environments.Proceedings of the AAAI Conference on Artificial Intelligence, 39(5):5558– 5566.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Deraings: Gaussian splatting for enhanced scene reconstruction in rainy environments.Proceedings of the AAAI Conference on Artificial Intelligence, 39(5):5558– 5566

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.467638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:95a91435ae7e5d0229c201f4428d977aafe4bf14d0780432d8567305b1056cf3

Observation 045bc508-9402-4d56-b27d-769aa666d5ce · outbound

This paper cites Mg-slam: Structure gaussian splatting slam with manhattan world hy- pothesis.IEEE Transactions on Automation Science and En- gineering, 22:17034–17049.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Mg-slam: Structure gaussian splatting slam with manhattan world hy- pothesis.IEEE Transactions on Automation Science and En- gineering, 22:17034–17049

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.399996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:6ccc239c6d4abb37f4188666bb1519d854c13d4ac111c4a3970e0f4117ee844c

Observation ad419f11-a489-4f43-9556-948c087e6f4a · outbound

This paper cites I2-nerf: Learning neural radiance fields un- der physically-grounded media interactions.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results I2-nerf: Learning neural radiance fields un- der physically-grounded media interactions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.516624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:fab6a89c6b1f3a9876d0dc8a3497bcbb5c3b340d2a855aaf661551a7849b34da

Observation 64f84875-a88c-47a0-be4e-b0bb0de27456 · outbound

This paper cites Realx3d: A physically-degraded 3d benchmark for multi-view visual restoration and recon- struction.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Realx3d: A physically-degraded 3d benchmark for multi-view visual restoration and recon- struction

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.841714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:10609f76d003ad3b2bbc627df2198e641c01fae7d34e2038e6dea03a169b57c9

Observation 0ccf7f16-5ba2-4370-86ea-718283ad0ef2 · outbound

This paper cites De- noising the deep sky: Physics-based ccd noise formation for astronomical imaging.arXiv preprint arXiv:2601.23276.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results De- noising the deep sky: Physics-based ccd noise formation for astronomical imaging.arXiv preprint arXiv:2601.23276

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.838520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:18e87fb38e025010079aa41bb94c5de55869cca32f7cde2fe12219349eaf94a3

Observation bc7a6fe5-18ee-447b-82f0-8aa163930bf5 · outbound

This paper cites NTIRE 2026 X- AIGC quality assessment challenge: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 X- AIGC quality assessment challenge: Methods and results

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.419906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:3ed2f04f03135474f4ef6fe161eb370048987e32c2160a11f874df7d5cba86c6

Observation 536bc5c8-44f4-447a-8f71-be5e89bd03eb · outbound

This paper cites Ihdcp: Single image dehazing using inverted haze density correction prior.IEEE Transactions on Image Processing.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Ihdcp: Single image dehazing using inverted haze density correction prior.IEEE Transactions on Image Processing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.485689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:5074923b2c6aaf0d0ea09a945485791dbbfc6270401e09b7783b7d2233d2df04

Observation f36b2c75-b487-46d8-88a6-d97b3d392a58 · outbound

This paper cites ELoG-GS: Dual-Branch Gaussian Splatting with Luminance-Guided Enhancement for Extreme Low-light 3D Reconstruction.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results ELoG-GS: Dual-Branch Gaussian Splatting with Luminance-Guided Enhancement for Extreme Low-light 3D Reconstruction

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.810157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:5126a6d4e416cff03c2efe403d8b7c82f5b18bbb0d4d72d622481b707eb6c37f

Observation 2c011424-c3e7-4384-8d20-85e06f67ed6e · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.512607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:acb55073b16d0754d031ed2a446fb798f42c7a66c074c4bce7d40ed05d96fa76

Observation fad40e1d-eb77-4ef1-97af-6f3b5ab259b5 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.497524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:2925ffc69e7ede500efd7cebe61e4965e7ce6de34345b24fd615359b13809740

Observation 1104a5cf-7355-4971-9aca-59f4bf50c35d · outbound

This paper cites NTIRE 2026 challenge on video saliency pre- diction: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on video saliency pre- diction: Methods and results

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.505230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:64086e429ea8fcfd00e73f1ae1a35125129fc5d3a9b209105d5d5ad82f410ca6

Observation a9d6908d-24cd-49cc-8867-6a6600341c2e · outbound

This paper cites Introducing gpt image 1.5.https://openai.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Introducing gpt image 1.5.https://openai

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.428522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:c72366197f4beaaf177a4eb654b4eff7b142b0ac70d8d9abf58e25bf6a0f71b1

Observation c83266b7-052d-4b25-848b-73a3dc47f2bb · outbound

This paper cites NTIRE 2026 challenge on learned smartphone ISP with unpaired data: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on learned smartphone ISP with unpaired data: Methods and results

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.448290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:808bf150751bc6586512914726908dbad94b57f98c753d50fec1ae0e3024902a

Observation 601c8618-6e8d-4a5a-98aa-d5c95aa82923 · outbound

This paper cites NTIRE 2026 the 3rd restore any image model (RAIM) challenge: Professional image quality assessment (track 1).

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 the 3rd restore any image model (RAIM) challenge: Professional image quality assessment (track 1)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.501207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:6d2148d941ee8ba50ec745edfd39ff3465eacf4a813a5174da9228a447dd0798

Observation 4c9c9bea-29f5-41b9-9ad5-28c55f323448 · outbound

This paper cites The second challenge on cross-domain few-shot object detection at NTIRE 2026: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The second challenge on cross-domain few-shot object detection at NTIRE 2026: Methods and results

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.482464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:dfd2dbfb9735bacd5797f3703c01eb584845c7bafd3b8334cd8dde5cde1b2a9b

Observation fea487cd-d65f-48cc-a749-a1e5ecf8ff5c · outbound

This paper cites Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for image dehazing.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for image dehazing

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.493035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:b36f617328b1dc7cad27b72ac007e769fd333b011193e609649e53d25dfda7af

Observation 4e6869c2-5216-4ae5-b728-135dd5cdb22b · outbound

This paper cites The eleventh ntire 2026 efficient super-resolution challenge re- port.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The eleventh ntire 2026 efficient super-resolution challenge re- port

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.403782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:5707d719374eefad82280528df4375c6d5571c7485762414a3c94337b58eef90

Observation a9b7f47c-a161-4b66-82d9-f7bb6fcb06b5 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results U- net: Convolutional networks for biomedical image segmen- tation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.395909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:fff3c0e32c7ff1eef57ae19eb1c6fe4264d411255f0bec19ac5ebe47d792ef45

Observation d3fccd30-76ae-4f23-a394-a61a6c668ff9 · outbound

This paper cites Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.528590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:3122c91eb88c77907f2eda5d3ef7bdd5cdc8fcdd14a8388695be394d316f011e

Observation 9f487003-694c-4260-b9a6-0daab61547cd · outbound

This paper cites Vision transformers for single image dehazing.IEEE Transactions on Image Processing, 32:1927–1941.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Vision transformers for single image dehazing.IEEE Transactions on Image Processing, 32:1927–1941

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.471415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:d7ae0bad2b71769f305b2841675cd92096bd45b4ddc92e0d4a53bfd65a05bd62

Observation 1395019b-0dee-4d9b-8de5-759a9eb0a789 · outbound

This paper cites The third challenge on image denoising at NTIRE 2026: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The third challenge on image denoising at NTIRE 2026: Methods and results

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.489710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:3dc29dd11b270ab4513e3ed4a30bf8bcfc4ad91357be5a3fb271b41780f3ac88

Observation e1bffab9-e9b2-45eb-b2db-90d0087663fe · outbound

This paper cites The second challenge on event-based im- age deblurring at NTIRE 2026: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The second challenge on event-based im- age deblurring at NTIRE 2026: Methods and results

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.452397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:1c9bacbc44f3a611807badaab217de2dfc5be6b98bd10de6a3a56a5b72dc304f

Observation d657ea48-e545-41a0-b643-321a198777dd · outbound

This paper cites NTIRE 2026 the first challenge on blind computational aberration correction: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 the first challenge on blind computational aberration correction: Methods and results

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.444727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:964e8e2777e79eadb12dc6b2166e88af22a2342361b24e62f99c0676f8ee3dce

Observation 6b5c196a-ef92-4a00-bd50-f4e67308bcdf · outbound

This paper cites Learning- based ambient lighting normalization: NTIRE 2026 chal- lenge results and findings.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Learning- based ambient lighting normalization: NTIRE 2026 chal- lenge results and findings

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.436570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:247fd4ac39191d18024bad649673d893c4a20ebefb8856b0d1f7bbb455852f29

Observation a990ec67-cd8b-4e9b-8be6-ef46d85f7764 · outbound

This paper cites Advances in single-image shadow removal: Results from the NTIRE 2026 challenge.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Advances in single-image shadow removal: Results from the NTIRE 2026 challenge

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.460692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:0ea2a257ebd35f24ed9cf798250e3d7b9f9e9bf7350a5fcc73fb2b7acadfeb73

Observation 9eb4393b-2c82-4f6e-83c0-6d6de3b8bed1 · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Vggt: Vi- sual geometry grounded transformer

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.411601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:65d6c145287f7a3739e629131412f125b83ffb1bf190ebe4d80c2737d379f5a6

Observation 5cdc5d1c-7f1f-485d-9a5a-f41f363b5937 · outbound

This paper cites The second challenge on real-world face restoration at NTIRE 2026: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results The second challenge on real-world face restoration at NTIRE 2026: Methods and results

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.424264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:9d60c46c7419c96f488bf2fcc84a0df2b73c0a63db2037b17e3624f48d303981

Observation b01f3982-5e97-4791-8c99-129002dcacf1 · outbound

This paper cites NTIRE 2026 challenge on 3D content super-resolution: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on 3D content super-resolution: Methods and results

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.415982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:23b8fb52e6bd647e5d4732e8c1e1314b864d3b0e3aa6b13ee043d01ac8f6e201

Observation 7515b381-18ea-4da7-94c2-20e6d3c231f1 · outbound

This paper cites MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:44.488897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:11014ca4598d0fbf2c4b3fc9ed6fad1b3d935e0bb1d8ad49ff643bad6d3f8b5b

Observation 6b3400bb-de46-478d-b9c0-3129e5a652ad · outbound

This paper cites NTIRE 2026 challenge on light field image super-resolution: Methods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on light field image super-resolution: Methods and results

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.478789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:a0bc4a5eb1a40975ff9b4aeeb631cb0dd758ddcbe799fedcc34a44765e64e6dd

Observation f03ead3a-fe6a-4a3f-b079-0cad591e4abc · outbound

This paper cites Difix3d+: Improving 3d reconstruc- tions with single-step diffusion models.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Difix3d+: Improving 3d reconstruc- tions with single-step diffusion models

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.457279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:ebc2116163b49d808313ed8f548449d67d0cfb968c93071abbb4eaf46e382ddd

Observation 95309371-2aac-43eb-a473-c4732db29069 · outbound

This paper cites Efficient low light image enhancement: NTIRE 2026 challenge report.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Efficient low light image enhancement: NTIRE 2026 challenge report

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.520502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:84125fa385be3e39283b5e2b4918a6c4deb17c805244fafd5f23f70f0666f8b8

Observation 8dbd7a77-6f6a-421d-a47f-d21fc8ba35d6 · outbound

This paper cites Hvi: A new color space for low-light image enhancement.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Hvi: A new color space for low-light image enhancement

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.524607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:421c19442fdb14bf6b7c7a735305a2004ffa1778dc3881f949d6310f26866d35

Observation f77331d7-bd3d-40f5-8145-d9046742e196 · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.392130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:c4fcebfd6c91e54548ab59c69a9e1fffb7f8cf6b71ea18b68a31e0aa32db40ec

Observation e073729e-adf0-4331-adfe-778e10feffd9 · outbound

This paper cites Depth Anything V2.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Depth Anything V2

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.847641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:5c6d7f1e7629be17f3edbad3d0a26ddcb7c8b9469bdd90d458ab18310d35a568

Observation ddec8ab7-356b-43e8-b0fa-4515b0f9ba30 · outbound

This paper cites 3d-uir: 3d gaussian for underwater 3d scene reconstruction via physics based appearance-medium decoupling.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results 3d-uir: 3d gaussian for underwater 3d scene reconstruction via physics based appearance-medium decoupling

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.474750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:e8238a7d0fa8c1b5f255e02d21fac741225e7b8eb7a1a06b13a90aab9806d241

Observation 3af3b837-bc52-4f8c-b47b-d8a893e62f59 · outbound

This paper cites Practical blind image denoising via swin- conv-unet and data synthesis.Machine Intelligence Re- search, 20(6):822–836.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Practical blind image denoising via swin- conv-unet and data synthesis.Machine Intelligence Re- search, 20(6):822–836

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.440871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:c1a08fcfdb81bf23628edc4ff95914d0251ffc0e369f6f1ecb9c4ca238caa45e

Observation 80f9c2ff-6477-4a7a-8f01-7984e0c8e4ec · outbound

This paper cites 3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results 3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.844561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:5463a359b68075e87dbd645fe449c7d7138b3d833ab9d61b490a1ff7630f0309

Observation a87ed769-78e6-464b-95fc-674a8fdd95e7 · outbound

This paper cites NTIRE 2026 challenge report on anomaly detection of face enhancement for UGC images.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge report on anomaly detection of face enhancement for UGC images

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.432504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:e7cbcabd5d5341b399efd438f5b1f26900f8b2e6f4db025fee75b2bec376a102

Observation d9faae54-cd7d-4282-a29f-e774fc4c6967 · outbound

This paper cites Lita-gs: Illumination- agnostic novel view synthesis via reference-free 3d gaus- sian splatting and physical priors.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Lita-gs: Illumination- agnostic novel view synthesis via reference-free 3d gaus- sian splatting and physical priors

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.407591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:23c2942943b2cd51bd43a7360b9850a2361ddfc17535e8dc5a3d04b5dc453d96

Observation 0b054f8e-04ae-43ea-8b70-89e29430c4af · outbound

This paper cites Naka-GS: A Bionics-inspired Dual-Branch Naka Correction and Progressive Point Pruning for Low-Light 3DGS.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Naka-GS: A Bionics-inspired Dual-Branch Naka Correction and Progressive Point Pruning for Low-Light 3DGS

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:01.851675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:93c26440b515c0e6ad32e235cf6e689f7485c7078b5685407389c07c53614c26

Observation 99ddc41c-91a8-4be4-8b10-b3b05d0dfd1a · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Fsgs: Real-time few-shot view synthesis using gaussian splatting

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.508863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:2d4628d32b9381eddf9ed3fdce28927f1a0e77363c32460b1a4f93ea49f05e69

Observation 8751cda8-b821-489b-b61d-302b48f5d7cc · outbound

This paper cites NTIRE 2026 challenge on bitstream-corrupted video restoration: Meth- ods and results.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results NTIRE 2026 challenge on bitstream-corrupted video restoration: Meth- ods and results

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T05:48:11.464100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:29ddda95d2376f2c823065a9d6b4e0566ebb5d8c84217c52c0aaeb8c49991173

Observation c6e3adf0-5518-4ba2-84aa-d919b3f01ff3 · outbound

This paper cites Udpnet: Unleashing depth-based priors for robust image de- hazing.

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results Udpnet: Unleashing depth-based priors for robust image de- hazing

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.856979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T16:54:34.457273Z digest=sha256:e3229d4053aafab0d057215de90c68fc20f347ed151c20dc97ba9a6c13170673

Pith citing papers

Observation 142bc499-a82b-48a4-94b7-948cc645df0e · inbound

SmokeGS-R: Physics-Guided Pseudo-Clean 3DGS for Real-World Multi-View Smoke Restoration cites this paper.

SmokeGS-R: Physics-Guided Pseudo-Clean 3DGS for Real-World Multi-View Smoke Restoration NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-11T00:00:55.893019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:44:16.161453Z digest=sha256:a9703f945db4fc802013e1c4345983bd9f459c0d237a90eb6cd111a6b9c8a2cd

Observation 51f66865-15b6-4896-84d0-9ddcbe67b3e9 · inbound

CLIP-Guided Data Augmentation for Night-Time Image Dehazing cites this paper.

CLIP-Guided Data Augmentation for Night-Time Image Dehazing NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T00:25:49.846817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:33:51.064583Z digest=sha256:8754fb98e609283fc9a0369f0bd2f5e7d413c591be0cc97269d15d15c7badbf1

Observation 9f4dedfd-a4e9-4bba-b613-1d2b1f9eb884 · inbound

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models cites this paper.

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-10T22:35:48.986595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:44:10.507760Z digest=sha256:d22ea22593d8dfa5cb4a28125e73888d3bd2ebc66c30242be5a137d3e0926ecb

Observation 2bfb9256-3a0d-4354-bf2b-6b7366c3d989 · inbound

Dual-Branch Remote Sensing Infrared Image Super-Resolution cites this paper.

Dual-Branch Remote Sensing Infrared Image Super-Resolution NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-11T09:31:03.602782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:59:13.110096Z digest=sha256:885a1b7ef81c9cb6ecbc5398161ccf00edeaaba9e062386b11e4d38d8ed9e040

Observation cf43a656-e883-4874-af56-2d0cad5d7e14 · inbound

Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising cites this paper.

Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T11:21:01.279980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:54.721762Z digest=sha256:86986f4da5a4c877120a8c7c4153ed7f11b8b391b75122ed52b08825cdb27a46

Observation f77468c7-fc71-4382-8ef3-fbd769f1eac6 · inbound

Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation cites this paper.

Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:21:01.932640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:04:24.442890Z digest=sha256:38c38b3cd0dcc467635617bf422a392bb4af5c7984d13f0cecdf460503caf63b

Observation da384828-a647-495b-a470-d8c13a58bf25 · inbound

Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis cites this paper.

Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-10T13:30:26.439739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:29:35.398568Z digest=sha256:bd62941bb76a2dcf5a3e62ceae36565f26f0d2e1f88ac160e591d217e23d577d

Observation 64b8ad68-1796-4417-bd57-571d26901c44 · inbound

DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction cites this paper.

DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:23:50.268799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T18:18:26.276827Z digest=sha256:9fd4db37d1067fb5b5ea413b65594b6b0a3126417a48f422bdcaad5adee4b523

Observation e22c6523-585a-4ae7-b194-d354eef7964a · inbound

DeblurNVS: Geometric Latent Diffusion for Novel View Synthesis from Sparse Motion-Blurred Images cites this paper.

DeblurNVS: Geometric Latent Diffusion for Novel View Synthesis from Sparse Motion-Blurred Images NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-07-01T21:06:14.540495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T17:27:55.194746Z digest=sha256:088afaf6869c06404674b854588eba0f347b0bdccd23a7a5cf5f2db5a718b72f