Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:33:42.945959Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 4 inbound Pith citation observations for arXiv:2501.01320.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:33:42.945959Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:25.378257Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T18:14:17.581272Z
84 of 84 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation dd3f3535-afa7-48ce-9488-a37b899c6106 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration https://laion.ai/blog/laion- aesthetics/, 2022
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1953b82f-0fe7-4e99-87d0-ebee341fcc18 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration https://huggingface
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf88316d-1157-4c9c-95c0-54e5b5696471 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6af79813-f841-47a3-9e1d-b5f390c5a032 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration BasicVSR: The search for essential com- ponents in video super-resolution and beyond
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5afd811a-152a-41e7-aa04-7597cd304e61 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration BasicVSR++: Improving video super- resolution with enhanced propagation and alignment
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a68c385-fbcf-461e-ae63-8c829873fe47 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy
Reference 6
Source-reported events for the cited work
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Observation 0e2865d7-8c2f-434a-a921-8ccb0994c51b · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Pre-trained image processing transformer
Reference 7
Source-reported events for the cited work
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Observation 545fc390-4158-4fce-af42-997c3ae53f52 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7ad9f7c-1c04-42f7-ac9a-6acfe16232ef · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration PixArt- α: Fast training of diffusion transformer for photorealistic text-to-image synthe- sis
Reference 9
Source-reported events for the cited work
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Observation b7a55df4-e2bd-4bdf-b09e-60fcd802db87 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration FIT: Far-reaching Interleaved Transformers
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d163a89a-d38d-4239-b33c-de1631b47ba0 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Activating more pixels in image super-resolution transformer
Reference 11
Source-reported events for the cited work
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Observation db71a2a4-df66-41c8-9caa-21fd637e996f · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Learning spatial adaptation and temporal coherence in diffusion models for video super- resolution
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3dab6527-2006-4924-8bea-28ab90cbc689 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Reproducible scal- ing laws for contrastive language-image learning
Reference 13
Source-reported events for the cited work
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Observation 169ee1d7-e520-4312-b234-ce1ba3f8f8bf · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration FlashAttention-2: Faster attention with better paral- lelism and work partitioning
Reference 14
Source-reported events for the cited work
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Observation 2718bc0f-015b-40d5-8300-ad14e4737a3e · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution
Reference 15
Source-reported events for the cited work
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Observation 7db7068b-7769-47f6-aa98-ac4cfde325ef · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Image quality assessment: Unifying structure and texture sim- ilarity
Reference 16
Source-reported events for the cited work
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Observation ed5bce02-d6e5-4ea2-8c8d-bb07c4c69fee · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Scaling rectified flow trans- formers for high-resolution image synthesis
Reference 17
Source-reported events for the cited work
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Observation 6d12b4d6-4c4c-4f28-b795-f697c8eec817 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Generative adversarial networks
Reference 18
Source-reported events for the cited work
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Observation 5482092b-24af-4e5e-a762-c5ae11d77f7f · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Diffit: Diffusion vision transformers for image generation
Reference 19
Source-reported events for the cited work
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Observation 4bf46868-bc57-4ae1-a626-60e968056812 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VEnhancer: Generative Space-Time Enhancement for Video Generation
Reference 20
Source-reported events for the cited work
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Observation a14ae2d6-8166-4895-895a-5e5b34263a82 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Denoising dif- fusion probabilistic models
Reference 21
Source-reported events for the cited work
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Observation c1a93a96-eb9d-4904-986b-99d56ae1e828 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Bidirectional recur- rent convolutional networks for multi-frame super-resolution
Reference 22
Source-reported events for the cited work
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Observation 48c17108-bd0b-4b29-8eaa-06cc3e962ee2 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Video super-resolution with recurrent structure-detail network
Reference 23
Source-reported events for the cited work
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Observation 22175d74-1d05-4116-8808-4d42b08b999b · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Mixture of Diffusers for scene composition and high resolution image generation
Reference 24
Source-reported events for the cited work
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Observation d07f6999-c35e-4c1a-a1f4-5b7f4948d317 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Pyramidal flow matching for efficient video generative modeling
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 780f28c5-d3bb-42a5-b737-c371592010f1 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Musiq: Multi-scale image quality transformer
Reference 26
Source-reported events for the cited work
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Observation d0f66b7a-863f-424b-b8e5-37c71aa3c29e · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VideoPoet: A large lan- guage model for zero-shot video generation
Reference 27
Source-reported events for the cited work
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Observation fa6b3a2e-46b9-4880-b5ad-430622bc2516 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Open-sora-plan
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a35ddbf0-06a2-47e3-ba4e-28ba997556ac · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration A simple baseline for video restoration with grouped spatial- temporal shift
Reference 29
Source-reported events for the cited work
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Observation f407df20-bd64-4035-920a-d02445d15108 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c324d13-7907-4c54-b366-677c63fe18c6 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SwinIR: Image restoration using swin transformer
Reference 31
Source-reported events for the cited work
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Observation 97ee12a8-ba42-42d1-877d-5d4034b80889 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Recurrent video restoration transformer with guided deformable attention
Reference 32
Source-reported events for the cited work
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Observation 7f96c9d9-644f-46aa-b1c7-1173f8ffc2ef · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VRT: A video restoration transformer
Reference 33
Source-reported events for the cited work
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Observation be2d755c-7c2f-452d-ba20-0a394131157d · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Reference 34
Source-reported events for the cited work
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Observation f9ec241b-43d7-4416-9e8e-5591af2244b3 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Swin transformer: Hierarchical vision transformer using shifted windows
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9dee919e-d9fa-4b9a-a213-3324d3130794 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Video swin transformer
Reference 36
Source-reported events for the cited work
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Observation 09db0efe-ea27-4859-8217-ccd7b0f217fd · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration completely blind
Reference 37
Source-reported events for the cited work
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Observation 5c8d82ac-e988-4831-a789-d9e25269f745 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration NTIRE 2019 challenge on video deblurring and super-resolution: Dataset and study
Reference 38
Source-reported events for the cited work
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Observation f0ddf080-145a-40da-b6e2-244902915e04 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Glide: Towards photorealistic image gen- eration and editing with text-guided diffusion models
Reference 39
Source-reported events for the cited work
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Observation 41c3ea41-29c2-4ddc-99bd-b8ba43425060 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Scalable diffusion models with transformers
Reference 40
Source-reported events for the cited work
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Observation 06888bc5-884b-41fc-b372-d60b7c608543 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Movie Gen: A Cast of Media Foundation Models
Reference 41
Source-reported events for the cited work
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Observation 2a6737dd-d604-422b-a5c6-564b100f326a · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Learning transferable visual models from natural language supervi- sion
Reference 42
Source-reported events for the cited work
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Observation 9f08bfcf-4405-4d76-b899-3a61b5258b2d · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 43
Source-reported events for the cited work
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Observation eb2312fb-f248-4819-a6a9-e5bb51ca0e9e · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Cosmos tokenizer: A suite of image and video neural tokenizers
Reference 44
Source-reported events for the cited work
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Observation 45fdaeea-6eb2-4fc1-82c8-9501f529c98f · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration High-resolution image synthesis with latent diffusion models
Reference 45
Source-reported events for the cited work
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Observation 69c3a078-1010-49e3-9c46-d582bd7f5958 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Frame-recurrent video super-resolution
Reference 46
Source-reported events for the cited work
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Observation 5f9a1496-0b76-4730-8cea-d7ef9af7aa61 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Deep unsupervised learning using nonequilibrium thermodynamics
Reference 47
Source-reported events for the cited work
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Observation b87c95e4-10b1-4919-b51f-34a05ee9e8c7 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Roformer: Enhanced transformer with rotary position embedding
Reference 48
Source-reported events for the cited work
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Observation 1ce7cf43-d751-428a-9a55-9c1388558c03 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Detail-revealing deep video super-resolution
Reference 49
Source-reported events for the cited work
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Observation 2e822469-5ad7-4e6a-a103-5bd10b5efd4a · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration TDAN: Temporally-deformable alignment network for video super-resolution
Reference 50
Source-reported events for the cited work
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Observation a8c5b9bd-8e7a-4089-a0ed-e93832619eac · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 51
Source-reported events for the cited work
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Observation 4b42df6d-2b9c-48e3-a13e-cb436daf9e96 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Attention is all you need
Reference 52
Source-reported events for the cited work
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Observation 0d4d614d-b0cb-4a70-9293-771727ddc43c · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Ex- ploring clip for assessing the look and feel of images
Reference 53
Source-reported events for the cited work
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Observation b53b5b01-ccaa-4da4-a43d-ab86054f56a9 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Chan, and Chen Change Loy
Reference 54
Source-reported events for the cited work
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Observation 2df4d516-2155-4817-960f-a1ca06aee9c0 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Edvr: Video restoration with enhanced deformable convolutional networks
Reference 55
Source-reported events for the cited work
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Observation 5264ef53-c5f7-4f19-8658-7097c91f3938 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c3e5919-7800-4858-b320-48cab830e802 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VideoComposer: Compositional video synthesis with motion controllability
Reference 57
Source-reported events for the cited work
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Observation 23a8a5e0-bcac-4d9a-8420-1ae197b07633 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling
Reference 58
Source-reported events for the cited work
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Observation 540fd073-bd1d-41dc-9c52-6f4279539ed7 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
Reference 59
Source-reported events for the cited work
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Observation b1358c03-b3fe-46d3-8e7f-565bbf057b95 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SeeSR: Towards semantics-aware real-world image super-resolution
Reference 60
Source-reported events for the cited work
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Observation e2bf12ed-cf65-45f4-94ad-7e86606eead4 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Mitigating artifacts in real-world video super-resolution models
Reference 61
Source-reported events for the cited work
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Observation 2fc0e92b-8b61-467a-9b4b-33c71bfb683d · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Unresolved cited work
Reference 62
Source-reported events for the cited work
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Observation 5085b4ac-8c97-44ce-945a-e8bb9c0be675 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Real- world video super-resolution: A benchmark dataset and a decomposition based learning scheme
Reference 63
Source-reported events for the cited work
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Observation 7f43bcb7-3a96-4593-a965-c059f728db7e · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Motion- guided latent diffusion for temporally consistent real-world video super-resolution
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d1e5129-6d8b-4c8b-bb95-814c2b1874ca · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer
Reference 65
Source-reported events for the cited work
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Observation aae4eb55-d5dd-45b2-86e4-8f1081d125ec · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 66
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fca47ef-d73e-4eec-bfa6-2cc8e6e7e2c0 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Diffir2vr- zero: Zero-shot video restoration with diffusion-based image restoration models
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef0db7ea-4a19-4baf-ae70-fc362d25fa52 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations
Reference 68
Source-reported events for the cited work
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Observation 8e112f47-0cb2-4c7f-97ce-dc8252ca7fd2 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration FMA-Net: Flow-guided dynamic filtering and iterative feature refine- ment with multi-attention for joint video super-resolution and deblurring
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 25fadbb8-110f-41f9-821f-17036d451c15 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild
Reference 70
Source-reported events for the cited work
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Observation b204ba8d-7625-4425-96ca-731dc3e76587 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Language model beats diffusion - tokenizer is key to visual generation
Reference 71
Source-reported events for the cited work
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Observation a44ce018-b9e4-4de8-a25b-4c8216f2ba75 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration DifFace: Blind Face Restoration with Diffused Error Contraction
Reference 72
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a7b5889-1653-4600-a872-c8198563f401 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Resshift: Efficient diffusion model for image super-resolution by resid- ual shifting
Reference 73
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f70b641e-2eee-4e06-bea9-d92ed24467f7 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Effi- cient diffusion model for image restoration by residual shift- ing
Reference 74
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f7c1a489-f256-4670-9252-28d5561797a6 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration The unreasonable effectiveness of deep fea- tures as a perceptual metric
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd0fae0c-c86f-450a-97d9-ccbfe2a340b3 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration The unreasonable effectiveness of deep fea- tures as a perceptual metric
Reference 76
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f436583e-59cc-4f55-92d9-299b95a44f15 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration RealViformer: Investigating attention for real-world video super-resolution
Reference 77
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 11d377aa-f008-4167-b486-41850c23be6e · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Reference 78
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cc163d6-037c-4fbf-9608-f9a4f20cdec6 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Cv-vae: A compatible video vae for latent generative video models
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 904c2041-37ad-4f91-ad19-46d6b13071d6 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Open-sora: Democratizing efficient video production for all
Reference 80
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eb1ba082-e880-4395-adf2-1231ae0119f6 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Chan, Chongyi Li, and Chen Change Loy
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 25ecae94-68df-4e55-82a2-f80827fbdb27 · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Upscale-A-Video: Temporal- consistent diffusion model for real-world video super- resolution
Reference 82
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67100869-fe68-4c32-9058-eabfd3c9458e · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SRFormer: Permuted self-attention for single image super-resolution
Reference 83
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 310a8601-d823-4e9a-81c4-10ce845d44cd · outbound
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution
Reference 84
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1950a46-d4a7-433c-a2c3-a70752f6b632 · inbound
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0da258f0-d998-4d49-afff-a4d965943c70 · inbound
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
Reference 68
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75eb13e1-e828-4652-8794-2ee5303f3f75 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd963546-6a6e-4856-89fc-508233097579 · inbound
SURF: Signature-Retained Fast Video Generation SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.