Paper Citation Record · LEDGER

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s

As of 19 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2506.08529.

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

pith.paper-citation-record.v1
2506.08529 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:34.525958Z

measured 70 of 70 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:59:34.754260Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:31:03.169272Z

Reference resolution

68 of 68 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c76ed59d-4ca7-4c08-94e4-21e50292ba13 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.244361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b789f84-6495-496a-ba69-ea7a934f7bd0 · outbound

This paper cites Video Super-Resolution Transformer.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Video Super-Resolution Transformer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.249123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c95482c-fc2f-48ef-be1f-61c02689399b · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Basicvsr: The search for essential components in video super-resolution and beyond

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.344606Z

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.

Observation 804337dc-0e2c-4147-8d75-9cd22c0b28f5 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Basicvsr++: Improv- ing video super-resolution with enhanced propagation and alignment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.332558Z

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.

Observation 799dfc8e-41ba-4b79-8614-fbf183f98de0 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Investigating tradeoffs in real-world video super-resolution

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.322084Z

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.

Observation 9e4a3ce7-5754-41c4-82a7-c6d273d83471 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125, 2024.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.266889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b5d6997-33e8-4582-9c22-d54a6034dc19 · outbound

This paper cites PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.271509Z

Source-reported events for the cited work

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Observation 9868468e-6fe0-42f7-9126-e1e766ca8e77 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.275537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a06b3d-4e3a-4fd6-ae6d-5f3294dad8c4 · outbound

This paper cites FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.279736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ded8fce-5149-4939-815e-f27e5a586714 · outbound

This paper cites Deformable convolutional networks.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Deformable convolutional networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.283519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c0e1c3-0820-4e92-b4a5-9139fe07311f · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.287017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382341be-928a-49ef-8c2e-c78819859806 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s VEnhancer: Generative Space-Time Enhancement for Video Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.291389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10dfdbe4-914e-4e83-bdfa-66ee0c1d1ef9 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.295772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb57c28-37b9-423b-a8b8-98ac69f18f88 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.300472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5756e8d8-336b-4dd9-8513-23772704fd55 · outbound

This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.304183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae20e88-139c-4d5e-b6c6-cfec856fef5f · outbound

This paper cites Video super-resolution via bidirectional recurrent convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 40(4):1015–1028, 2017.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Video super-resolution via bidirectional recurrent convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 40(4):1015–1028, 2017

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.286916Z

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.

Observation 2093db6e-655d-4ebc-a7df-a4bb0e4deee7 · outbound

This paper cites Video super- resolution with recurrent structure-detail network.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Video super- resolution with recurrent structure-detail network

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.275330Z

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.

Observation e78d8ce5-7349-4ee2-8ce2-37f332e66c19 · outbound

This paper cites Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.264523Z

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.

Observation de0bf5f4-bc12-47f1-97e2-b6c809f586a7 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s A style-based generator architecture for generative adversarial networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.320650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e40795-7f73-4e93-9a02-dd8e95604632 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Imagic: Text-based real image editing with diffusion models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.324620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e51ae7-42a4-4d33-ab00-5b6a8f799de5 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Musiq: Multi-scale image quality transformer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.328458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dac9286-8ebd-45b3-92a4-10a51b942ccd · outbound

This paper cites Mucan: Multi-correspondence aggregation network for video super-resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Mucan: Multi-correspondence aggregation network for video super-resolution

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.234619Z

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.

Observation df1b1c42-9b8b-42c2-b6b6-04fc4fcd5c65 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.335250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9caeaa-f1e0-4125-8d50-c5bcfd47b2a7 · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Lsdir: A large scale dataset for image restoration

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.339139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9724d2-1ac1-4eeb-8aab-9c74218e3147 · outbound

This paper cites Vrt: A video restoration transformer.IEEE Transactions on Image Processing, 2024.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Vrt: A video restoration transformer.IEEE Transactions on Image Processing, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.217089Z

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.

Observation da59c639-71d2-421a-b2e7-cd1b37b03231 · outbound

This paper cites Recurrent video restoration transformer with guided deformable attention.Advances in Neural Information Processing Systems, 35:378–393, 2022.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Recurrent video restoration transformer with guided deformable attention.Advances in Neural Information Processing Systems, 35:378–393, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.205218Z

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.

Observation 565ee97e-c92a-401f-b3d1-48d9bb6094ec · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Enhanced deep residual networks for single image super-resolution

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.351185Z

Source-reported events for the cited work

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Observation 4a664250-3e2e-47de-9f2b-0715b7d23974 · outbound

This paper cites Diffbir: Toward blind image restoration with generative diffusion prior.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Diffbir: Toward blind image restoration with generative diffusion prior

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.354493Z

Source-reported events for the cited work

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Observation 3e8af4c4-b5de-45b2-acfc-b125f3857a79 · outbound

This paper cites Learning trajectory-aware trans- former for video super-resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Learning trajectory-aware trans- former for video super-resolution

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.181706Z

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.

Observation 914ca01e-15d3-4a11-9c66-4e53c29c46cc · outbound

This paper cites Video-p2p: Video editing with cross-attention control.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Video-p2p: Video editing with cross-attention control

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.362080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63adb5fa-a844-40ef-8c03-f06533a2e996 · outbound

This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Evalcrafter: Benchmarking and evaluating large video generation models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.365334Z

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Unavailable: canonical work link unavailable.

Observation 41342b3f-8813-476b-b273-718352b73270 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.369644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6ea7ef-32eb-4116-86f7-d130725692c3 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Latte: Latent Diffusion Transformer for Video Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.373824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd35daac-9868-4cdf-af26-bab68133503b · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.152991Z

Source-reported events for the cited work

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Observation 3e16e134-656c-432e-bda3-539eba90c7d5 · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.381705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719aff2d-39a8-4622-9457-939439580efe · outbound

This paper cites Scalable diffusion models with transformers.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Scalable diffusion models with transformers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.385740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d77ebd67-cb59-4c52-9bf5-82dfeb0e93d8 · outbound

This paper cites Fatezero: Fusing attentions for zero-shot text-based video editing.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Fatezero: Fusing attentions for zero-shot text-based video editing

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.389674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885da697-5666-45e0-bc15-e26172ce5c7d · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s High- resolution image synthesis with latent diffusion models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.393207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61376603-961d-476b-814e-082895cef0c6 · outbound

This paper cites Frame-recurrent video super- resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Frame-recurrent video super- resolution

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.122310Z

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.

Observation 7a65a4ff-1df3-4ed1-bcd3-2e5b5d276809 · outbound

This paper cites Denoising Diffusion Implicit Models.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Denoising Diffusion Implicit Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.401516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbba172e-7e5b-457b-84cc-394ebf6a2d43 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.405534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c59845-36e7-448f-994c-c7ef6cbaa8a8 · outbound

This paper cites Detail-revealing deep video super-resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Detail-revealing deep video super-resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.103685Z

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.

Observation 16070d1c-b154-43d7-9783-06896cae23f1 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Tdan: Temporally-deformable alignment network for video super-resolution

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.091233Z

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.

Observation aebf7027-e6f0-400e-9327-79fdc8ac8280 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.417751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b81ab2a-3e5d-40f6-8a1c-1dfc32601a09 · outbound

This paper cites Deformable non-local network for video super-resolution.IEEE Access, 7:177734–177744, 2019.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Deformable non-local network for video super-resolution.IEEE Access, 7:177734–177744, 2019

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.072693Z

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.

Observation 34240715-ac62-48f9-a9da-f908de70d521 · outbound

This paper cites Exploring clip for assessing the look and feel of images.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Exploring clip for assessing the look and feel of images

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.426245Z

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Unavailable: canonical work link unavailable.

Observation 75eb13e1-e828-4652-8794-2ee5303f3f75 · outbound

This paper cites SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.430493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f35847c-4f91-4691-a373-dc76af9b4120 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, 132(12):5929–5949, 2024.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, 132(12):5929–5949, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.434921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30305726-bf7f-47da-8dd3-10c069bc9d17 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Edvr: Video restoration with enhanced deformable convolutional networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.439340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 379338ea-fdca-4d57-9896-6a499c3f6b30 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.443341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97904ae3-6ba1-4064-ac93-4eeaa036d09e · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.447814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9d2e34-1655-4e09-ab85-730707ef5d52 · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.028989Z

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.

Observation 81f99a4d-23d4-4305-93e9-60ef314c29f8 · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.Advances in Neural Information Processing Systems, 37:92529–92553, 2024.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s One-step effective diffusion network for real-world image super-resolution.Advances in Neural Information Processing Systems, 37:92529–92553, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.018151Z

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.

Observation d7904011-d320-47d4-917f-17094510024e · outbound

This paper cites Animesr: Learning real-world super- resolution models for animation videos.Advances in Neural Information Processing Systems, 35:11241–11252, 2022.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Animesr: Learning real-world super- resolution models for animation videos.Advances in Neural Information Processing Systems, 35:11241–11252, 2022

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:35.007343Z

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.

Observation 0cfed318-eeba-4040-9bfd-e3265328673a · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Diffir: Efficient diffusion model for image restoration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.995322Z

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.

Observation 8ae9a46f-81e3-4b1a-9ef3-e620afd1251a · outbound

This paper cites STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.469795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6340dd44-c98f-475b-946c-b10c7a0198d9 · outbound

This paper cites Easyanimate: A high-performance long video generation method based on transformer architecture.arXiv preprint arXiv:2405.18991, 2024.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Easyanimate: A high-performance long video generation method based on transformer architecture.arXiv preprint arXiv:2405.18991, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.474576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad0fe9b3-eb28-4481-8801-ca1c23dbec34 · outbound

This paper cites Video enhancement with task-oriented flow.International Journal of Computer Vision, 127:1106–1125, 2019.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Video enhancement with task-oriented flow.International Journal of Computer Vision, 127:1106–1125, 2019

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.983828Z

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.

Observation 947f9ff3-08c7-47b5-b5f8-3ff2d7f8fee7 · outbound

This paper cites Rerender a video: Zero-shot text-guided video-to-video translation.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Rerender a video: Zero-shot text-guided video-to-video translation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.484538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee86b28-8378-407b-9700-76c5cd6a6fac · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Motion-guided latent diffusion for temporally consistent real-world video super-resolution

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.965606Z

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.

Observation c71a0c62-3945-4d7a-ae0f-353f56984755 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.493215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b05cf7-0b8e-4c8d-b715-44a78c224fc4 · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.953597Z

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.

Observation 613710f8-2784-4f20-934c-6f27193c8315 · outbound

This paper cites A feature-enriched completely blind image quality evaluator.IEEE Transactions on Image Processing, 24(8):2579–2591, 2015.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s A feature-enriched completely blind image quality evaluator.IEEE Transactions on Image Processing, 24(8):2579–2591, 2015

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.940622Z

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.

Observation b9b54d82-a0a0-47c1-af32-6ff45a3a5c9d · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.507372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b12eaa6-c816-467d-b5b6-fc971eb143f8 · outbound

This paper cites I2vgen-xl: High-quality image-to-video synthesis via cascaded diffusion models.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s I2vgen-xl: High-quality image-to-video synthesis via cascaded diffusion models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.922215Z

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.

Observation 20aa31d7-4751-42be-8f9e-6b44a38f1ffb · outbound

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

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Realviformer: Investigating attention for real-world video super-resolution

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.910598Z

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.

Observation ac740761-24b5-49e1-b7a9-b174762e11c6 · outbound

This paper cites Upscale- a-video: Temporal-consistent diffusion model for real-world video super-resolution.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Upscale- a-video: Temporal-consistent diffusion model for real-world video super-resolution

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:34.898930Z

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.

Observation 8253209a-f15b-4109-8aa9-f62985b08e33 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:34.525958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9713a6bc-b414-4d03-a6d6-007a2a6dbbe7 · inbound

NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results cites this paper.

NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:03.174967Z

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.

Observation 454a408e-0199-4c18-ba13-ae1c39c62372 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:25.623144Z

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.