Paper Citation Record · LEDGER

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

As of 11 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 4 inbound Pith citation observations for arXiv:2512.23709.

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

pith.paper-citation-record.v1
2512.23709 v2

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T19:14:15.240218Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T01:42:12.249183Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:46:41.145915Z

Reference resolution

100 of 108 outbound references displayed

verified exact22
verified fuzzy77
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bc44262-435d-47e8-945b-fd0fb97209cc · outbound

This paper cites Instantvir: Real-time video inverse problem solver with distilled diffusion prior.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Instantvir: Real-time video inverse problem solver with distilled diffusion prior

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.601258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca08181b-8d7c-48bc-8517-519b19ada02c · outbound

This paper cites The perception-distortion tradeoff.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion The perception-distortion tradeoff

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.102413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21216148-0dd1-4d30-905f-15c4268f4bdb · outbound

This paper cites Real-time super-resolution system of 4k-video based on deep learning.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Real-time super-resolution system of 4k-video based on deep learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.209885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8586bbd3-f2cd-4c99-9f00-c7f3859f08ba · outbound

This paper cites Basicvsr: The search for essential compo- nents in video super-resolution and beyond.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Basicvsr: The search for essential compo- nents in video super-resolution and beyond

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.231002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c3ced27-e012-468d-b36a-390858ce0e80 · outbound

This paper cites Basicvsr++: Improving video super- resolution with enhanced propagation and alignment.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Basicvsr++: Improving video super- resolution with enhanced propagation and alignment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.109649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b9b68fc-fdd3-4f38-89d4-3d550ebd495d · outbound

This paper cites Investigating tradeoffs in real-world video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Investigating tradeoffs in real-world video super-resolution

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.094619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a6166c58-b035-4acf-a492-129975360f8c · outbound

This paper cites Learn- ing camera-aware noise models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Learn- ing camera-aware noise models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.248533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b42130dd-56e2-4dd9-8490-004f62d23220 · outbound

This paper cites Denoising Likelihood Score Matching for Conditional Score-based Data Generation.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Denoising Likelihood Score Matching for Conditional Score-based Data Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.604253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c84acdd4-830b-45f9-97c7-164dbe8f62bb · outbound

This paper cites High-order relational generative adversarial network for video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion High-order relational generative adversarial network for video super-resolution

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.074623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 05f32aa2-e429-4c65-838a-f2cc26efcbe7 · outbound

This paper cites Dove: Efficient one- step diffusion model for real-world video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Dove: Efficient one- step diffusion model for real-world video super-resolution

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.607496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b169c85-241f-4de4-b87d-ea2eb51a6b53 · outbound

This paper cites Aim 2024 challenge on efficient video super-resolution for av1 compressed content.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Aim 2024 challenge on efficient video super-resolution for av1 compressed content

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.165523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d4ec9cf-2e55-42a5-9e91-512beadedeab · outbound

This paper cites Deformable convolutional net- works.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Deformable convolutional net- works

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.045622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d7c78a11-4f5d-408a-bc1c-c5c411c2c513 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and ma- chine intelligence, 44(5):2567–2581.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and ma- chine intelligence, 44(5):2567–2581

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.077901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dcb8c349-22c0-4403-b1c0-36827a14665b · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Taming transformers for high-resolution image synthesis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.167952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf6793d3-0acf-4c17-8dba-16d62dfeb705 · outbound

This paper cites Efficient video super-resolution through recurrent latent space propagation.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Efficient video super-resolution through recurrent latent space propagation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.041277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27bb58de-cf46-4916-b1b8-a1452286c2d1 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Implicit diffusion models for continuous super-resolution

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.071273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7720b36a-fe9a-4d6a-8a2c-81f90b6cf229 · outbound

This paper cites Consistency Models Made Easy.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Consistency Models Made Easy

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:18:19.610458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af221890-85d3-4ea8-be52-a2a84bd3ff7a · outbound

This paper cites Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.160288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 879178c2-ed40-40f2-9b5b-67c1ea1663ae · outbound

This paper cites Generalizable implicit motion modeling for video frame interpolation.Ad- vances in Neural Information Processing Systems, 37:63747– 63770.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Generalizable implicit motion modeling for video frame interpolation.Ad- vances in Neural Information Processing Systems, 37:63747– 63770

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.234374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebdd7c2a-68eb-472d-aab0-1cd723a6ff05 · outbound

This paper cites Dc-vsr: Spatially and temporally consistent video super- resolution with video diffusion prior.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Dc-vsr: Spatially and temporally consistent video super- resolution with video diffusion prior

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.097307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7fe83b0e-779a-48c0-bfae-99403edbfaa9 · outbound

This paper cites VEnhancer: Generative Space-Time Enhancement for Video Generation.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion VEnhancer: Generative Space-Time Enhancement for Video Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.598047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d50d3bd0-cf68-4fc1-be34-39f396843d9d · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.195496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aa645161-2439-4437-a4f1-c06aa67fb73e · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Cascaded diffu- sion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.051416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a339ed2-1886-4771-9786-e48625836cce · outbound

This paper cites Ref-ldm: A latent 9 diffusion model for reference-based face image restoration.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Ref-ldm: A latent 9 diffusion model for reference-based face image restoration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.237677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76214be3-23f1-49fe-8c54-ba444c95cb4c · outbound

This paper cites Video Super-Resolution with Recurrent Structure-Detail Network.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Video Super-Resolution with Recurrent Structure-Detail Network

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.543131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c66ea37a-ae53-4944-bb66-b3120a14b691 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Image-to-image translation with conditional adver- sarial networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.174601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 056bb416-dedb-4287-b7bb-e4b39f9f904f · outbound

This paper cites Expanding synthetic real-world degradations for blind video super resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Expanding synthetic real-world degradations for blind video super resolution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.162199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 916dd1bd-2bf4-4520-b429-2d24b9be2252 · outbound

This paper cites Real-world super-resolution via kernel estimation and noise injection.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Real-world super-resolution via kernel estimation and noise injection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.159998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c256b654-7e42-481f-8457-e0edfd4e0a54 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.584837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fb7783a1-5378-48b1-8cb3-5753b4e0467d · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Musiq: Multi-scale image quality transformer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.164514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c42678b0-c301-4964-a87e-0325288f5de1 · outbound

This paper cites Blind video temporal consistency via deep video prior.Advances in Neu- ral Information Processing Systems, 33:1083–1093.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Blind video temporal consistency via deep video prior.Advances in Neu- ral Information Processing Systems, 33:1083–1093

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.191841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49821422-a9cd-4326-9cc3-ac58aa8a4bb5 · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Srdiff: Single image super-resolution with diffusion probabilistic models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.228139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bbca99f1-0df1-42b7-8b73-b92f66dca418 · outbound

This paper cites MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.538866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e653b237-cef8-419a-9e3d-f871792c7faf · outbound

This paper cites DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.532820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b164a631-1a11-456b-a33d-1b2fe33c5cfe · outbound

This paper cites Swinir: Image restoration using swin transformer.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Swinir: Image restoration using swin transformer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.216099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f5b8035-03af-4d73-ad75-90119a6c4dc5 · outbound

This paper cites VRT: A Video Restoration Transformer.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion VRT: A Video Restoration Transformer

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.552517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 935d1ffd-4cb8-44ac-be8b-d9f733e8407c · outbound

This paper cites Recurrent video restoration trans- former with guided deformable attention.Advances in Neu- ral Information Processing Systems, 35:378–393.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Recurrent video restoration trans- former with guided deformable attention.Advances in Neu- ral Information Processing Systems, 35:378–393

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.255556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db8e20e8-97d1-4c8e-a22f-dfea547e305b · outbound

This paper cites On bayesian adaptive video su- per resolution.IEEE transactions on pattern analysis and machine intelligence, 36(2):346–360.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion On bayesian adaptive video su- per resolution.IEEE transactions on pattern analysis and machine intelligence, 36(2):346–360

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.133939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2da29bc-6b10-4924-bd66-25a2ca30ed61 · outbound

This paper cites MarDini: Masked Autoregressive Diffusion for Video Generation at Scale.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion MarDini: Masked Autoregressive Diffusion for Video Generation at Scale

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.588304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed71b65f-ef70-4622-a767-cec1b9c2ced2 · outbound

This paper cites Corrfill: Enhancing faithfulness in reference-based inpainting with correspondence guidance in diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Corrfill: Enhancing faithfulness in reference-based inpainting with correspondence guidance in diffusion models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.252105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d78feec7-1168-4f61-b23f-d59fc3046919 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.147488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f783f0e-9ba6-47f9-baa4-583193789324 · outbound

This paper cites UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.591452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac8aa42a-3fb6-48bc-b188-050d74d7a78f · outbound

This paper cites Deep video frame interpolation using cyclic frame generation.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Deep video frame interpolation using cyclic frame generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.188246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf6b896b-fc7f-4c7e-aff6-cd9d4de4a694 · outbound

This paper cites Learning to see through ob- structions with layered decomposition.IEEE transactions on pattern analysis and machine intelligence, 44(11):8387– 8402.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Learning to see through ob- structions with layered decomposition.IEEE transactions on pattern analysis and machine intelligence, 44(11):8387– 8402

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.244282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9b59c7d5-e5f1-421d-8875-3239040fc3d3 · outbound

This paper cites Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.147205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df239002-0318-4d3f-b5a7-4532cfc8822b · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.NeurIPS, 35:5775–5787.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.NeurIPS, 35:5775–5787

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.213228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe78dd9e-548e-4268-9bf7-1eed7043da7a · outbound

This paper cites Repaint: In- painting using denoising diffusion probabilistic models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Repaint: In- painting using denoising diffusion probabilistic models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.196592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6765bc78-d6d3-4aae-ba27-40487ddbb63a · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:18:19.594869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 607c7e90-81c2-4692-804f-1cefe38814c4 · outbound

This paper cites Learning a no-reference quality metric for single-image super-resolution.Computer Vision and Image Understanding, 158:1–16.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Learning a no-reference quality metric for single-image super-resolution.Computer Vision and Image Understanding, 158:1–16

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.135132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f691d22d-1c1c-4bf4-b116-6ab0bd735ea1 · outbound

This paper cites On distillation of guided diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion On distillation of guided diffusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.150262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f51cec5-a883-48e7-ae62-d97d1e4c9b67 · outbound

This paper cites No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12): 4695–4708.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12): 4695–4708

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.106159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 768da23a-3960-4c9c-8467-1c857f3057e7 · outbound

This paper cites Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.111650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cdd53f17-53b6-4be3-b129-a8d9e4621757 · outbound

This paper cites Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.175827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3929acc7-170c-4321-9def-2cd56e9e94cc · outbound

This paper cites Deep blind video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Deep blind video super-resolution

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.096387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8916b6d4-1f3c-42fa-be7f-3334e7f64597 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion High-resolution image synthesis with latent diffusion models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.206184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca24e4e5-9d52-4fd7-b16e-11d04c0e6df1 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion High-resolution image synthesis with latent diffusion models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.221967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a70ed51c-6105-4e97-99a4-8c98b12ba3ff · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion High-resolution image synthesis with latent diffusion models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.144647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c94f8ca-0bc7-47d3-9f5f-578ae3e75e73 · outbound

This paper cites En- hancing perceptual quality in video super-resolution through temporally-consistent detail synthesis using diffusion mod- els.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion En- hancing perceptual quality in video super-resolution through temporally-consistent detail synthesis using diffusion mod- els

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.188072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f9c06c0c-2423-411b-9985-2d4c44cecd0c · outbound

This paper cites Blind quality assessment of videos using a model of natural scene statistics and motion coherency.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Blind quality assessment of videos using a model of natural scene statistics and motion coherency

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.086463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c880b6c-aac9-4e63-9462-77c622ed68f8 · outbound

This paper cites Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.078136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72d3015a-ba1d-4810-bc2f-6c18f6ac5d5e · outbound

This paper cites Frame-recurrent video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Frame-recurrent video super-resolution

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.074436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c4e6c33-0c48-424d-8746-850ddcd1e670 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Progressive Distillation for Fast Sampling of Diffusion Models

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:18:19.577403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 400618f3-79b6-4c35-8872-c22e7e9b60ac · outbound

This paper cites Rethinking Alignment in Video Super-Resolution Transformers.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Rethinking Alignment in Video Super-Resolution Transformers

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.581036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 34c63c93-7137-4ade-9079-507e5995fe58 · outbound

This paper cites Denoising Diffusion Implicit Models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Denoising Diffusion Implicit Models

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:18:19.529660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 329a2a7f-e712-4024-bdae-17309d3d1494 · outbound

This paper cites Negvsr: Augmenting negatives for generalized noise modeling in real-world video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Negvsr: Augmenting negatives for generalized noise modeling in real-world video super-resolution

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.129642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72305461-7083-4b43-b213-04f75434903e · outbound

This paper cites Pixel-level and semantic-level adjustable super-resolution: A dual-lora approach.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Pixel-level and semantic-level adjustable super-resolution: A dual-lora approach

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.106649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1015367-7c7a-454b-8ebe-959a8c3214a6 · outbound

This paper cites Ar-diffusion: Asynchronous video genera- tion with auto-regressive diffusion.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Ar-diffusion: Asynchronous video genera- tion with auto-regressive diffusion

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.083770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b61da5d8-0ef7-4de2-8786-b13c8c527495 · outbound

This paper cites Fiper: Factorized features for robust image super-resolution and compression.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Fiper: Factorized features for robust image super-resolution and compression

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.210052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a185c45-48b1-4364-8702-cd89b90d7493 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Raft: Recurrent all-pairs field transforms for optical flow

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.121581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5cef2b83-76fa-4e03-a981-9f35c4bccc6b · outbound

This paper cites Tdan: Temporally-deformable alignment network for video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Tdan: Temporally-deformable alignment network for video super-resolution

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.173145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 715267a3-de56-435e-84ed-5c5f1e431857 · outbound

This paper cites Lightsout: Diffusion-based outpainting for enhanced lens flare removal.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Lightsout: Diffusion-based outpainting for enhanced lens flare removal

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.071587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e9e79b0-ffe3-488d-8a5d-31457c79a5f2 · outbound

This paper cites Dual Associated Encoder for Face Restoration.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Dual Associated Encoder for Face Restoration

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.564905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c992e089-a136-4490-8f56-220177b12b09 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Attention is all you need.Advances in neural information processing systems, 30

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.162675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db1b7860-3f52-446b-a8f1-98b26fda6122 · outbound

This paper cites Phased consistency models.Advances in neural information pro- cessing systems, 37:83951–84009.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Phased consistency models.Advances in neural information pro- cessing systems, 37:83951–84009

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.167347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 861a9d44-6932-4276-801c-4a9d229170e8 · outbound

This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.558866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c2ac595b-8a07-437d-880e-24e9e981572f · outbound

This paper cites Temporal-Consistent Video Restoration with Pre-trained Diffusion Models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Temporal-Consistent Video Restoration with Pre-trained Diffusion Models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.568094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8e3c65c6-13ed-4727-a270-fbf333bbf839 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, 132(12):5929–5949.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, 132(12):5929–5949

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.199107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8f566869-3b4b-43e1-beff-9bc6f68255b2 · outbound

This paper cites Seedvr2: One-step video restora- tion via diffusion adversarial post-training.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Seedvr2: One-step video restora- tion via diffusion adversarial post-training

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.549624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11059b7e-949a-4e3f-b1b7-d2443ffa2d5a · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Edvr: Video restoration with enhanced deformable convolutional networks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.224438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07146a9a-a0fc-413d-a5a6-8ed9385f49fa · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.178585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 89ee7eed-8e20-4c77-99e1-711171968f18 · outbound

This paper cites VIRES: Video Instance Repainting via Sketch and Text Guided Generation.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion VIRES: Video Instance Repainting via Sketch and Text Guided Generation

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.535839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d63ccbf6-bf2e-4a0e-a200-3fafdda828a7 · outbound

This paper cites One-Step Effective Diffusion Network for Real-World Image Super-Resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.555620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1ad56fb-8455-427d-859e-ea1f2b61d872 · outbound

This paper cites Seesr: Towards semantics-aware real-world image super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Seesr: Towards semantics-aware real-world image super-resolution

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.103741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc745c97-c386-4d83-be29-bda4188e007a · outbound

This paper cites Progressive au- toregressive video diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Progressive au- toregressive video diffusion models

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.218843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c1a640f8-f36f-4c5e-8765-87f3196ae3aa · outbound

This paper cites Em distillation for one-step diffusion models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Em distillation for one-step diffusion models

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.180008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dfa2ac8f-8086-4627-8a2b-70ccf88956e9 · outbound

This paper cites Videogigagan: Towards detail-rich video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Videogigagan: Towards detail-rich video super-resolution

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.191372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7004f099-8608-4e4e-9a56-4e4878839129 · outbound

This paper cites Video enhancement with task-oriented flow.International Journal of Computer Vision, 127(8): 1106–1125.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Video enhancement with task-oriented flow.International Journal of Computer Vision, 127(8): 1106–1125

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.202868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72c080ac-0a9e-4de6-b3ba-c12113e27cd9 · outbound

This paper cites Real- world video super-resolution: A benchmark dataset and a decomposition based learning scheme.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Real- world video super-resolution: A benchmark dataset and a decomposition based learning scheme

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.142020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87542c96-2167-4118-a8dc-e183a8df61e7 · outbound

This paper cites Motion- guided latent diffusion for temporally consistent real-world video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Motion- guided latent diffusion for temporally consistent real-world video super-resolution

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.131263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2c5cf81-69e5-49b4-85b2-ba1eebb8f6cd · outbound

This paper cites Diffir2vr-zero: Zero-shot video restoration with diffusion-based image restoration models.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Diffir2vr-zero: Zero-shot video restoration with diffusion-based image restoration models

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.561973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd2da17a-63fb-4c83-9acd-a60939660f00 · outbound

This paper cites Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.149938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1e9bab6-8d5e-4d63-a0d6-1c760665be07 · outbound

This paper cites Fma-net: Flow-guided dynamic filtering and iterative feature refine- ment with multi-attention for joint video super-resolution and deblurring.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Fma-net: Flow-guided dynamic filtering and iterative feature refine- ment with multi-attention for joint video super-resolution and deblurring

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.144933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 40952dec-5dbd-4580-aae4-706427f73a09 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Restormer: Efficient transformer for high-resolution image restoration

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.241179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8379df1f-2017-4abc-b2a4-2fee70afbacf · outbound

This paper cites Degradation-guided one-step image super-resolution with diffusion priors.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Degradation-guided one-step image super-resolution with diffusion priors

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.118699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 221a8c28-41af-4cb8-ba3d-0ecdcf5ae37d · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Designing a practical degradation model for deep blind image super-resolution

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.184301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eb10e86f-a33c-4245-8f65-59b04d6abad9 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion The unreasonable effectiveness of deep features as a perceptual metric

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.201558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b97cf4d1-f616-49b1-8477-71f5e1fd31ab · outbound

This paper cites Crafting training degradation distribution for the accuracy-generalization trade-off in real- world super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Crafting training degradation distribution for the accuracy-generalization trade-off in real- world super-resolution

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.198925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1dcd420e-cc76-42c6-afc8-546ce5c5cce6 · outbound

This paper cites Realviformer: Investigating attention for real-world video super-resolution.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Realviformer: Investigating attention for real-world video super-resolution

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.044438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c6ae338a-234c-445b-8928-d108af71b9a5 · outbound

This paper cites Tmp: Temporal motion propagation for on- line video super-resolution.IEEE Transactions on Image Processing.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Tmp: Temporal motion propagation for on- line video super-resolution.IEEE Transactions on Image Processing

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.062846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81e92af5-bf82-410c-a32b-295fc1168c74 · outbound

This paper cites Avid: Any-length video inpainting with diffusion model.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Avid: Any-length video inpainting with diffusion model

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T19:21:13.212716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation a6e58773-60d5-4db4-89df-ee76f483c82e · inbound

SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation cites this paper.

SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:56:05.823173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d62bf0e-c1d2-445d-8a27-be646bfdb7f0 · inbound

SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation cites this paper.

SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-12T01:51:14.750358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c405d09-e90e-4b68-b896-02a5bc2c0aca · inbound

Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions cites this paper.

Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:37:29.801038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 16576195-0883-46a5-a726-223eaf330f5d · inbound

LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models cites this paper.

LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

Reference 101

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.147371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.