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Paper Citation Record · LEDGER

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields

As of 18 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2504.20026.

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

pith.paper-citation-record.v1
2504.20026 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:43:56.706425Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 109 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved62
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 283d70ea-4488-45e6-8709-f92c5f92cd17 · outbound

This paper cites https://www.shutterstock.com/ search/3d.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields https://www.shutterstock.com/ search/3d

Reference 1

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Observation 6f04fccc-e962-468d-b1f9-44a5f62818e7 · outbound

This paper cites Intrinsic scene prop- erties from a single rgb-d image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Intrinsic scene prop- erties from a single rgb-d image

Reference 2

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Observation c550fbbc-5fa7-483b-84b8-57f53e3fb8c3 · outbound

This paper cites Shape, illumination, and reflectance from shading.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Shape, illumination, and reflectance from shading

Reference 3

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Observation 1d52e734-d0df-4614-9385-995060a18e8f · outbound

This paper cites Nerd: Neural re- flectance decomposition from image collections.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Nerd: Neural re- flectance decomposition from image collections

Reference 4

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Observation 0a6407ff-52b9-427f-bef4-a977fa5a3d34 · outbound

This paper cites Neural-pil: Neu- ral pre-integrated lighting for reflectance decomposition.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural-pil: Neu- ral pre-integrated lighting for reflectance decomposition

Reference 5

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Observation 957a1d7d-ea29-4530-99b3-24bcfe4f12aa · outbound

This paper cites Samurai: Shape and material from uncon- strained real-world arbitrary image collections.Advances in Neural Information Processing Systems, 35:26389–26403,.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Samurai: Shape and material from uncon- strained real-world arbitrary image collections.Advances in Neural Information Processing Systems, 35:26389–26403,

Reference 6

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Observation eb492988-20e1-4576-9894-988814d4a3ce · outbound

This paper cites Sf3d: Stable fast 3d mesh reconstruction with uv-unwrapping and illumination disentanglement.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Sf3d: Stable fast 3d mesh reconstruction with uv-unwrapping and illumination disentanglement

Reference 7

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Observation f4587745-76f3-42e2-9f50-87ded2aa0845 · outbound

This paper cites Intrinsic image decompo- sition via ordinal shading.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Intrinsic image decompo- sition via ordinal shading

Reference 8

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Observation a973c927-f3dc-4767-860a-12697032e377 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Emerging properties in self-supervised vision transformers

Reference 9

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source=pdf_text observed=2026-08-16T05:43:56.194771Z digest=sha256:26206bb0cd8f012dcaff20ba04fa1dc622368cada1536b509e16019277a6e02d

Observation 96923022-f534-4c95-8b14-f80e634efd14 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 10

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Observation 59e060a3-95bb-4d55-b8c8-d32214ed1565 · outbound

This paper cites Abo: Dataset and benchmarks for real-world 3d ob- ject understanding.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Abo: Dataset and benchmarks for real-world 3d ob- ject understanding

Reference 11

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Observation 0c9a424d-f515-4132-815f-e8b8efee733e · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 12

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Observation 58ee247e-f338-476e-813a-3cc8ad8754be · outbound

This paper cites Acquiring the reflectance field of a human face.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Acquiring the reflectance field of a human face

Reference 13

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Observation 2396b6cc-ba5c-4d5b-b91f-5d340e41d982 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Objaverse: A universe of annotated 3d objects

Reference 14

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source=pdf_text observed=2026-08-16T05:43:56.219998Z digest=sha256:acdbc46b92fee0e09952e0ae184e727b4790426a1f1e74280bf8d64e4279d1c8

Observation 4b5cde6a-0714-4f3a-ad71-03e88351c329 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Objaverse-xl: A universe of 10m+ 3d objects

Reference 15

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Observation 5c80e242-76fc-4b9b-a4c9-32488b781979 · outbound

This paper cites Single-image svbrdf cap- ture with a rendering-aware deep network.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Single-image svbrdf cap- ture with a rendering-aware deep network

Reference 16

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Observation 45111baa-dc9a-4e9e-92a1-b3e0280ffbad · outbound

This paper cites Digital twin catalog: A large-scale photorealistic 3d object digital twin dataset.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Digital twin catalog: A large-scale photorealistic 3d object digital twin dataset

Reference 17

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Observation 611249a3-50d2-4f1f-b01f-5fa4ebec665f · outbound

This paper cites Dreamcraft: Text-guided generation of functional 3d environments in minecraft.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Dreamcraft: Text-guided generation of functional 3d environments in minecraft

Reference 18

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Observation 5b717579-efba-49ff-b0a6-a7d608da220e · outbound

This paper cites Project aria: A new tool for ego- centric multi-modal ai research, 2023.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Project aria: A new tool for ego- centric multi-modal ai research, 2023

Reference 19

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Observation 10e44cf6-2cfc-4cbc-8c7e-fe10596345a6 · outbound

This paper cites Shi- nobi: Shape and illumination using neural object decompo- sition via brdf optimization in-the-wild.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Shi- nobi: Shape and illumination using neural object decompo- sition via brdf optimization in-the-wild

Reference 20

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Observation 6d7921d1-96f7-451a-9651-e8a001e14171 · outbound

This paper cites K- planes: Explicit radiance fields in space, time, and appear- ance.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields K- planes: Explicit radiance fields in space, time, and appear- ance

Reference 21

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Observation 4bd28ee6-3a67-440e-8dec-a35d4036a96b · outbound

This paper cites Kaolin: A pytorch library for accelerating 3d deep learning research.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Kaolin: A pytorch library for accelerating 3d deep learning research

Reference 22

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Observation 7cb631c8-7155-4047-bd04-9ab645d37d50 · outbound

This paper cites Learning to Predict Indoor Illumination from a Single Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Learning to Predict Indoor Illumination from a Single Image

Reference 23

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Observation 516a2b49-cd39-4ece-bbb0-2086d221cf46 · outbound

This paper cites Fast spatially-varying in- door lighting estimation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Fast spatially-varying in- door lighting estimation

Reference 24

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Observation 7a269419-b940-47d2-b425-11a2e8f6b83f · outbound

This paper cites Shape, light, and material decomposition from images us- ing monte carlo rendering and denoising.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Shape, light, and material decomposition from images us- ing monte carlo rendering and denoising

Reference 25

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Observation 7495ada8-7a29-44b6-a26b-79334838d2fc · outbound

This paper cites Openlrm: Open-source large reconstruction models.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Openlrm: Open-source large reconstruction models

Reference 26

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Observation 44e8b96a-e1af-4414-a6f0-73fe5505e419 · outbound

This paper cites Denoising dif- fusion probabilistic models.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Denoising dif- fusion probabilistic models

Reference 27

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Observation 16dd8ffa-1a40-42dc-922d-5757f39f3710 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields LRM: Large Reconstruction Model for Single Image to 3D

Reference 28

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Observation 294da615-af40-4bb8-8feb-351482546e5b · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Putting nerf on a diet: Semantically consistent few-shot view synthesis

Reference 29

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Observation 30ca499a-d618-4683-8ed8-9479afa261f5 · outbound

This paper cites Gaussian- shader: 3d gaussian splatting with shading functions for re- flective surfaces.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Gaussian- shader: 3d gaussian splatting with shading functions for re- flective surfaces

Reference 30

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Observation 8cb3a54b-4d5d-46a8-9dd2-3383bfaa0237 · outbound

This paper cites Tensoir: Tensorial inverse rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Tensoir: Tensorial inverse rendering

Reference 31

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Observation 56d22842-39d5-454e-a0cc-c8a9ea6fdb1e · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Geonerf: Generalizing nerf with geometry priors

Reference 32

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Observation 1ca8ebae-7d63-41b4-a499-60f216406b5c · outbound

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

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields 3d gaussian splatting for real-time radiance field rendering

Reference 33

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Observation b4ba7f46-12aa-4325-9486-efeb010a2a48 · outbound

This paper cites Infonerf: Ray entropy minimization for few-shot neural volume ren- dering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Infonerf: Ray entropy minimization for few-shot neural volume ren- dering

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation eb984fd1-9c48-44e1-8099-aef5187402a7 · outbound

This paper cites Stanford-orb: a real- world 3d object inverse rendering benchmark.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Stanford-orb: a real- world 3d object inverse rendering benchmark

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.356019Z digest=sha256:de3d25919594b35a49325cdf690638b4358d194e93c23e521e4e8b58cfcedbea

Observation 48db508c-a6ed-437d-8a14-575ab4edf203 · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.361910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.361910Z digest=sha256:8643e5607510f74f985c3d424ad25c77a73844b190586a2c5380cff3165b2b15

Observation 17381786-117d-4425-b433-9c7b3f0d01ec · outbound

This paper cites NerfAcc: A General NeRF Acceleration Toolbox.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields NerfAcc: A General NeRF Acceleration Toolbox

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.368022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.368022Z digest=sha256:0fc1a8e56b7982ac1a1dae979104efea09fe2530cd783623718642e8ac724dc0

Observation 5b6b0b47-ebda-4970-a352-ad996bbef170 · outbound

This paper cites Differentiable monte carlo ray tracing through edge sampling.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Differentiable monte carlo ray tracing through edge sampling

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.120995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.373861Z digest=sha256:24ecd7325aa913fbbf5aa454d9ffa7466c6db87e2774d02975458d897a083a8b

Observation 43312713-a48a-428c-8ff8-5aa14e7be88f · outbound

This paper cites Model- ing surface appearance from a single photograph using self- augmented convolutional neural networks.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Model- ing surface appearance from a single photograph using self- augmented convolutional neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.104675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.380061Z digest=sha256:fef9a265145cfdcb449cea01443071d0361c248fa45a3a74dd16322af3800a5b

Observation 70171a8c-a46f-4629-baa8-ae67c8252669 · outbound

This paper cites Cgintrinsics: Better intrinsic image decomposition through physically-based rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Cgintrinsics: Better intrinsic image decomposition through physically-based rendering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.088634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.385714Z digest=sha256:06d07c93fb21e1ab97a9809113c4e4d73d6702b31c944439756850ec03268372

Observation 490098a7-80e7-43ec-8d41-a561faa6fe74 · outbound

This paper cites Materials for masses: Svbrdf acquisition with a single mobile phone image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Materials for masses: Svbrdf acquisition with a single mobile phone image

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.072501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.392502Z digest=sha256:a531d17aaeb44de338df821afcb8139cb8ff761f9a3761244e5b47cae37d997c

Observation 760c273f-b2f0-49b9-ab53-11dfe7588195 · outbound

This paper cites Learning to recon- struct shape and spatially-varying reflectance from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Learning to recon- struct shape and spatially-varying reflectance from a single image

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.398769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.398769Z digest=sha256:20011feea092d24eeb5b59dd85b4f4c9b5b07481cd0f0129b5f2ee7d069f864d

Observation 1dbd6edf-7ddf-4aac-8b8b-cd63e11d03fd · outbound

This paper cites Inverse 12 rendering for complex indoor scenes: Shape, spatially- varying lighting and svbrdf from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Inverse 12 rendering for complex indoor scenes: Shape, spatially- varying lighting and svbrdf from a single image

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.045821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.404628Z digest=sha256:044d2e7845813b88790ceb842c44818d6f30f5ea78ea12cb65dd3de177acd505

Observation e06772d2-5110-465a-b659-1d430d7a3843 · outbound

This paper cites OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.411046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.411046Z digest=sha256:a2c62138c365b3994bd74c055bee395f96f0e65b9a69144ee5f37d1cc5385a88

Observation ebe7fe1c-9885-4c40-8a7b-8a3c9274610a · outbound

This paper cites Physically-based editing of indoor scene lighting from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Physically-based editing of indoor scene lighting from a single image

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.030139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.417245Z digest=sha256:2c32f3925ffd1fe2805d402df675457951a426c7e32c386633670e0781fa643f

Observation 78457023-1c9e-473d-a358-d535f4ec4c14 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neuralangelo: High-fidelity neural surface reconstruction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.013923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.422575Z digest=sha256:9182aebb6744b774e18a32db9fc98b773e49b7a41a5c3132001b6b0bb8194a44

Observation 65fc452d-f407-4246-9c20-203b30749244 · outbound

This paper cites Gs-ir: 3d gaussian splatting for inverse rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Gs-ir: 3d gaussian splatting for inverse rendering

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.996785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.427447Z digest=sha256:21c89216b0690ad323573e6c4556e6aef32dcfe1794a93f22ee25fce74229502

Observation c475c73c-d789-4f07-bbf2-5c03f5d8a760 · outbound

This paper cites Magic3d: High- resolution text-to-3d content creation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Magic3d: High- resolution text-to-3d content creation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.432578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.432578Z digest=sha256:c4cf446ba621a8e3689c191c0d9df30a30a750fd9a89b9f050ded02da1e07173

Observation ddce87a3-e08a-4638-bff7-1d9c2ffd7fde · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.968429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.437289Z digest=sha256:8efcaa08156e477624405a2a5e065588b10666e6867b8ee5a5e74a9535db6942

Observation c1e78562-fba1-4bcb-9571-6d8a9a1994cc · outbound

This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Zero-1-to- 3: Zero-shot one image to 3d object

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.952162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.443034Z digest=sha256:2ad94d810e0b36ca3e73b9e734dcc0ed6776c8314ac976f73b28b7c0b3ea53ff

Observation ca84984c-e270-4b92-81e4-69bd17586a78 · outbound

This paper cites Soft rasterizer: A differentiable renderer for image-based 3d rea- soning.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Soft rasterizer: A differentiable renderer for image-based 3d rea- soning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.936025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.448047Z digest=sha256:72d168e6defd9ff56db883948b82dcd7aa9a696b90aab9708388981c5cda8a93

Observation 48a3dd37-e537-48ce-9330-f94bf3ea95c9 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.452745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.452745Z digest=sha256:8c8e145b4dcf652f143eda5ed1e8ab7d05e1b6a04b329df664995b0d955d5085

Observation c8539484-a2df-4a1b-9dbf-a02060d2e7fc · outbound

This paper cites Reflectance and illumi- nation recovery in the wild.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Reflectance and illumi- nation recovery in the wild

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.920005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.457780Z digest=sha256:f50ab418a86edf14e0ba5d5da509b32b1f7e0a0124a8f788a22712baba5c90a2

Observation 53fe07d1-83da-4827-a8c8-8458eb086e5c · outbound

This paper cites Neural Volumes: Learning Dynamic Renderable Volumes from Images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.462746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.462746Z digest=sha256:a5096cf4550c505c058b52ca5a66e9f7a078bbde40211d4701ce4a482b96ed8d

Observation 0d0956f4-6262-47a9-a298-729ba3992403 · outbound

This paper cites Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.904729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.468746Z digest=sha256:a0efbe6b73df1f9db0de67cb4bb50b8d35ec6f085774d08a82191759020658e1

Observation daccae18-9a73-47de-9bb3-52bf093796aa · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Wonder3d: Single image to 3d using cross-domain diffusion

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.473564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.473564Z digest=sha256:85796cc448e62890a2baf50330c55eb2d081a190bd0356584ed452331dd86ed9

Observation 3300aa79-5062-4cd1-ae2e-bca06cfa6f91 · outbound

This paper cites Image- based brdf measurement including human skin.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Image- based brdf measurement including human skin

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.878000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.478738Z digest=sha256:3698c5b8a8048e07c80f853d52591635ed105401ab851f60c53ab8a4b497d74a

Observation 6318bcf5-ce6e-4b8e-83b8-5e6d2c7ba1a9 · outbound

This paper cites A data-driven reflectance model.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields A data-driven reflectance model

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.860944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.484038Z digest=sha256:eab803a62f9bdcaf5b601bcd898dd1bf947b1d6b3e30640d6efd6fe139978080

Observation f5445d0a-f983-4097-bec5-fbc92b4001bd · outbound

This paper cites Lime: Live intrinsic material esti- mation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Lime: Live intrinsic material esti- mation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.843003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.489546Z digest=sha256:e15367d222f8d80f8c0cd92f7e933a08242e7c1789a0259d654da310bebccfab

Observation a1bc78d9-7ed6-4b9a-8266-f0796bceb0b5 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.494334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.494334Z digest=sha256:0a8356bd89160dba655f7a4bc229073b694c074cf7333c5fed51ef0b625dcf81

Observation 28a0f005-887b-4436-bc55-be0cd2ec088f · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Instant neural graphics primitives with a multiresolution hash encoding

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.499588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.499588Z digest=sha256:c097934b72d86c05c9feda39ce149ae13f80c4d44c111fc8166ec6ab9cd05574

Observation 482514c6-3aa1-4e9b-b286-0dbdad7dcc71 · outbound

This paper cites Extracting triangular 3d models, materials, and lighting from images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Extracting triangular 3d models, materials, and lighting from images

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.796564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.504741Z digest=sha256:47d5f329a97615be15d420603a3da42d18c7e740be13c2df0f48d575a454bfdd

Observation c603d389-d7ff-4d74-8e57-b55472640ee2 · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.780415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.509465Z digest=sha256:405bf396494fa26353b70f44ebc7aecaecb5f29dbcc512328c9e517cc35bbc06

Observation deeeb152-ffe5-4a1b-8402-0271b37eed70 · outbound

This paper cites Scalable diffusion mod- els with transformers.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Scalable diffusion mod- els with transformers

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.763264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.514362Z digest=sha256:5668179037a7cb9b07baad8fd4289a4659c50202e1f00f81e7598bd03367be32

Observation 76d2fe25-7f3f-4efc-8b3a-285c08ce6b50 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields DreamFusion: Text-to-3D using 2D Diffusion

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.519196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.519196Z digest=sha256:3f82607d1e5a6332d988a0d27922b3afeb626a249774d6a0778f1f224fe8746b

Observation d0c375f2-d6f0-4eb2-a960-03c21aed98d8 · outbound

This paper cites ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.524763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.524763Z digest=sha256:9bfd459b2354f76cfee9e5b909c1013078ed5d07232f1ca29807ca934af1f44b

Observation 31702113-e4c2-40f4-b06b-c50dd446aafb · outbound

This paper cites Zerorf: Fast sparse view 360deg reconstruction with zero pretrain- ing.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Zerorf: Fast sparse view 360deg reconstruction with zero pretrain- ing

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.747036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.529806Z digest=sha256:97c256ffb28945cec2d97786cd69aeb0fb2b13c2dcc9cbf2a785c5a1cf6a03f9

Observation 7a32af04-2716-429c-956a-3e5b1943458e · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields MVDream: Multi-view Diffusion for 3D Generation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.534501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.534501Z digest=sha256:96a147f986e7be31d9033f18ceffb093d85a256e03d8d9dfe3b4fe3491ca0316

Observation beecd4ae-21f0-43b0-b99e-167a8b0da4a0 · outbound

This paper cites GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.539564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.539564Z digest=sha256:533357e88569887e973eb931c4faf203b4d2a1db0c8df387341343f5405a7af1

Observation 19837813-5813-4188-8e55-619f4fc9c056 · outbound

This paper cites Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.545262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.545262Z digest=sha256:937c2da0a7fde4ebc8c0ff4b1d11a7a85d1dc34bb9ddc96cc917b36abe97799e

Observation 47185c67-ef1b-48f3-8cb4-41868ad3f4ca · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Score-Based Generative Modeling through Stochastic Differential Equations

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.550321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.550321Z digest=sha256:502613f3b76967d823a401033c0c2853605e4d9256c934ec4c662dfcc2ffc27c

Observation b663d02b-a076-49dc-a954-0e41b6fa8ce3 · outbound

This paper cites Lighthouse: Predicting lighting volumes for spatially- coherent illumination.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Lighthouse: Predicting lighting volumes for spatially- coherent illumination

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.730941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.555668Z digest=sha256:0919f070329b75ffc10e37c24914b710d3db61491e59294886ed86a46d5ae636

Observation a85052ba-5aad-4ad6-bd2c-d781e8d79bce · outbound

This paper cites Neural-pbir reconstruction of shape, mate- rial, and illumination.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural-pbir reconstruction of shape, mate- rial, and illumination

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.714639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.560302Z digest=sha256:afe427c9e594a19623796bc993f3cf4c77a4d8a0e1dd5c51f8e12fbc176c668e

Observation d24d0a6d-9a02-43c8-a41c-3e5c25adba9b · outbound

This paper cites Mvdiffusion++: A dense high- resolution multi-view diffusion model for single or sparse- view 3d object reconstruction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Mvdiffusion++: A dense high- resolution multi-view diffusion model for single or sparse- view 3d object reconstruction

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.698171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.570309Z digest=sha256:7a95ef91713cd430ad2071358b9ada0c21499663b532ce0f47ebbd743cd8a1c0

Observation 0c67ede2-8643-4ae1-86b4-a32b7f0b83b7 · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.575627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.575627Z digest=sha256:34c2d144f3cc713ff00429418a10accb5ead36bbde075baacb41e9daf8855d98

Observation 7a81fce7-c31f-47aa-9eb0-b7f23ea68ee1 · outbound

This paper cites Objects with lighting: A real-world dataset for evaluating reconstruc- tion and rendering for object relighting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Objects with lighting: A real-world dataset for evaluating reconstruc- tion and rendering for object relighting

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.680353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.581068Z digest=sha256:9dcb583d42514118b99a8e470d0d2b54b2f2d07ab1187629dd4644c02eb65aaf

Observation 34931652-3f19-4c59-ab3a-bf8b3caf09af · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.586363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.586363Z digest=sha256:9a9aa2bbd59afb966f84c02dbc42fc2628a7195b7dea3e4392898641994805eb

Observation c9204974-756b-4a5a-8b76-9a81af0b6d33 · outbound

This paper cites SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.596640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.596640Z digest=sha256:472565d513f10ee4fb6b968c3ef99389bffa9da253ebecc9a1c0fc79d417eca5

Observation 583f5cb2-c8b1-4f41-aa53-37ad79c3d53d · outbound

This paper cites PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.601813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.601813Z digest=sha256:202a0dffe8bd36a240f68bd46164fc46d59e1d1823c906e1291876d06ce7ca0a

Observation 07243acf-50df-48b1-a446-aba011ca907f · outbound

This paper cites Taming mode collapse in score distillation for text-to-3d generation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Taming mode collapse in score distillation for text-to-3d generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.607188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.607188Z digest=sha256:d48267088e2badaef2d773cd3892e1fbb437f1c786c2bbed2220417a21d04271

Observation 4ccc7bc4-904d-4ef4-bae1-453ebcb9f70d · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Ibrnet: Learning multi-view image-based rendering

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.654328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.612313Z digest=sha256:6f140e1e7ce3d62b5bbd3a5b77036f2b374f4c355d21c11203a75773298eefca

Observation 5cad035b-fcae-4105-9171-c0e724f82d6b · outbound

This paper cites Learning indoor inverse rendering with 3d spatially-varying lighting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Learning indoor inverse rendering with 3d spatially-varying lighting

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.638122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.616961Z digest=sha256:c706872485c079fc585ed067cebc34e861e222f2b662be555cafc1d93ba27520

Observation c4413ca6-d952-4759-9c22-24b8dc61d3a1 · outbound

This paper cites Prolificdreamer: High- fidelity and diverse text-to-3d generation with variational score distillation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Prolificdreamer: High- fidelity and diverse text-to-3d generation with variational score distillation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.621676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.621676Z digest=sha256:99b61e1117c08577402be236b77e548039fe1618f3f9ccfb89359a096ffdef5a

Observation fe7e0088-0c2b-4e52-8a8d-00cc8097940e · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.626473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.626473Z digest=sha256:48e4f959d5c92370c63a0164f325d4957118146a6c496dd9073ed63d9e415d01

Observation dc90906b-fc06-41dc-b766-ed0c9a615ef8 · outbound

This paper cites Neural directional encoding for efficient and accurate view-dependent appearance modeling.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural directional encoding for efficient and accurate view-dependent appearance modeling

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.611973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.631668Z digest=sha256:f15a16e2c4f50fc13124b73066aa6b802467711bcc7fdca675bd1071a5166f4b

Observation a141456e-2998-4eb5-9e7a-e4d2016a9d82 · outbound

This paper cites Hyperdreamer: Hyper-realistic 3d content generation and editing from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Hyperdreamer: Hyper-realistic 3d content generation and editing from a single image

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.595819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.636539Z digest=sha256:5996fd60096d35cf68fe91b0bf9a78b9bb271fb54f87a4c2bc5e44a98d5a12cf

Observation 7afd6467-c8ef-4bed-a507-21985a78ff6e · outbound

This paper cites SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.641407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.641407Z digest=sha256:585489a6a2334ca60f2e04bb1ff37e265654822347c3fc7303f6435ce3bbf523

Observation 78e7d8d2-0180-41c9-9ad6-463ce5d419de · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.646180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.646180Z digest=sha256:2313878f7713dd89ac6026b984434b53f076bd16333738c0e13b8f411ec277fd

Observation 6f4c97c3-1fda-40ed-9170-919d7e1c363e · outbound

This paper cites DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.651636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.651636Z digest=sha256:a74855cb644d4fe4ca25a9d6e8747d9736af83d5e74a6eedc66c37b2f665abd7

Observation 00a40245-20ab-46a2-b944-2eb7df6acc7f · outbound

This paper cites Deep image-based relighting from optimal sparse samples.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Deep image-based relighting from optimal sparse samples

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.579213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.656823Z digest=sha256:733fc05516b244d0a90a689e8b3b8f0b18b710de8e55ab55c206d4ce2beb66cd

Observation 85686652-952d-4931-a95c-880f1313420d · outbound

This paper cites SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.661817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.661817Z digest=sha256:e227ecc4ec557edbdc53893bd7ec3eef2903ea9bfc166277ec0c3c27d4522125

Observation 2429bfbe-63b0-4a6c-b4b8-499264e7906c · outbound

This paper cites V olume rendering of neural implicit surfaces.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields V olume rendering of neural implicit surfaces

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.667407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.667407Z digest=sha256:0022295b66a705186fb253dfd8a4ae3231017df4899e2ab60cf7035017b95572

Observation 6e6bd8ab-12f8-4ce5-9c63-285717d4f25d · outbound

This paper cites Plenoctrees for real-time rendering of neural radiance fields.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Plenoctrees for real-time rendering of neural radiance fields

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.551894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.672514Z digest=sha256:56b1f8fa6d3d09ea70484e8d1646b19f2bf0cf7d1f73fc6aa55616571c02bcce

Observation b13a7725-679a-48da-af9a-1dec477a09af · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields pixelnerf: Neural radiance fields from one or few images

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.535406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.677307Z digest=sha256:cfe227c2606fbd37089207b85c21a2e99888b08916a17a0b01d6293be9c3d796

Observation cbc36dee-9f64-4e90-9d32-f077ad752ffb · outbound

This paper cites Mvimgnet: A large-scale dataset of multi-view images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Mvimgnet: A large-scale dataset of multi-view images

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.518428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.681846Z digest=sha256:9f5750ef855ed104335013be5a7a9f3a6f2e33a5d3066321b8575692fe75b800

Observation 67516315-0e90-49f2-9a9f-581ef5cd42d6 · outbound

This paper cites A dif- ferential theory of radiative transfer.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields A dif- ferential theory of radiative transfer

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.501942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.686463Z digest=sha256:559014dae560e8bf193e7110316fc25e198e52ef1e28f719e51e181f366288c6

Observation 5ca5b4c0-4793-494d-9f45-1fd8dc4e2972 · outbound

This paper cites Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.486200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.691859Z digest=sha256:49983d0b08c3bea6db19c86fa9d94dd3bb66b5ee362b18ced93017920d05a6e8

Observation 93a2d4f6-6b27-434e-ad38-7075cde96a78 · outbound

This paper cites Arf: Artistic radiance fields.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Arf: Artistic radiance fields

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.469711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.696815Z digest=sha256:2f897149f9ba813bf8f8c0619a59ec90d49027aa056f17af3a5781e7f960f934

Observation d4611522-6023-4c74-8633-e17aed2a4855 · outbound

This paper cites Iron: Inverse rendering by optimizing neural sdfs and ma- terials from photometric images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Iron: Inverse rendering by optimizing neural sdfs and ma- terials from photometric images

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.454148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.701615Z digest=sha256:4a840c432f32904325d7fa4a3b0ee9030002e0993cc4cdb4b9961ec2c1cb2050

Observation 314e9daa-44db-4491-8ee4-ce4afeea58e6 · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.706425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.706425Z digest=sha256:41d828627bdad349ec5d80bd4fa7c3e5dd2fa3b850e15b57766732408ac6d830

Pith citing papers

No inbound Pith citation observations are available.