Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:04:48.905225Z
Paper Citation Record · LEDGER
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
As of 23 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 17 inbound Pith citation observations for arXiv:2501.02976.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:25.400947Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:17:29.625360Z
Reference resolution
75 of 75 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 72bb8059-9920-4865-9718-dc871d026076 · outbound
This paper cites https://huggingface.co/ THUDM/CogVideoX-5b.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution https://huggingface.co/ THUDM/CogVideoX-5b
Reference 1
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Observation c1c2f5e4-c7f0-4c3e-b982-3f56fc0911be · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 2
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This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Reference 3
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Observation e3086a25-725b-4c38-aad7-2a3107440d29 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 4
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Observation cfed779f-a040-44ec-baa4-f4f6add9f1ac · outbound
This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Align your latents: High-resolution video synthesis with la- tent diffusion models
Reference 5
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Observation 3fcbeefc-0078-4033-b13c-3c71293935e6 · outbound
This paper cites The perception-distortion tradeoff.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution The perception-distortion tradeoff
Reference 6
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Observation cc77b971-c831-4fe8-815b-70eca706387f · outbound
This paper cites Video generation models as world simulators.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Video generation models as world simulators
Reference 7
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This paper cites Real-time video super-resolution with spatio-temporal net- works and motion compensation.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Real-time video super-resolution with spatio-temporal net- works and motion compensation
Reference 8
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Observation fc845cff-7085-45d2-afe3-55b8cee9986a · outbound
This paper cites Basicvsr: The search for essential compo- nents in video super-resolution and beyond.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Basicvsr: The search for essential compo- nents in video super-resolution and beyond
Reference 9
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Observation ce3dab67-3a6e-47d1-a847-10232e664fc0 · outbound
This paper cites Basicvsr++: Improving video super- resolution with enhanced propagation and alignment.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Basicvsr++: Improving video super- resolution with enhanced propagation and alignment
Reference 10
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Observation 9645be6f-1530-4e11-b08b-2ae2bcd94e18 · outbound
This paper cites Investigating tradeoffs in real-world video super-resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Investigating tradeoffs in real-world video super-resolution
Reference 11
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Observation d031f06f-e387-48e1-b08e-4ff44e64a0e5 · outbound
This paper cites Gentron: Diffusion trans- formers for image and video generation.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Gentron: Diffusion trans- formers for image and video generation
Reference 12
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Observation 1bfa2a4e-faf0-4ced-97e3-e121b0d867fc · outbound
This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Panda-70m: Captioning 70m videos with multiple cross-modality teachers
Reference 13
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Observation 06ecb107-a869-494f-bbe3-7e6c96c1203a · outbound
This paper cites Learning spatial adap- tation and temporal coherence in diffusion models for video super-resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Learning spatial adap- tation and temporal coherence in diffusion models for video super-resolution
Reference 14
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Observation 54c7ffe9-3997-4793-90ea-b0977bdc41ad · outbound
This paper cites Efficient video super-resolution through recurrent latent space propagation.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Efficient video super-resolution through recurrent latent space propagation
Reference 15
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Observation d6fbb71d-d64c-46b3-ab4f-156367639462 · outbound
This paper cites Recurrent back-projection network for video super- resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Recurrent back-projection network for video super- resolution
Reference 16
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Observation d286bbac-a89b-44f3-959d-37ad3fbedef2 · outbound
This paper cites VEnhancer: Generative Space-Time Enhancement for Video Generation.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution VEnhancer: Generative Space-Time Enhancement for Video Generation
Reference 17
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This paper cites Scaling Laws for Autoregressive Generative Modeling.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Scaling Laws for Autoregressive Generative Modeling
Reference 18
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Imagen Video: High Definition Video Generation with Diffusion Models
Reference 19
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Video super- resolution via bidirectional recurrent convolutional net- works
Reference 20
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Video super-resolution with recurrent structure-detail network
Reference 21
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Deep video super-resolution network using dynamic upsampling filters without explicit motion compen- sation
Reference 22
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Scaling Laws for Neural Language Models
Reference 23
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Auto-Encoding Variational Bayes
Reference 24
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Residual local feature network for efficient super-resolution
Reference 25
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Learning blind video temporal consistency
Reference 26
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Mucan: Multi-correspondence aggregation network for video super-resolution
Reference 27
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Recurrent video restoration trans- former with guided deformable attention
Reference 28
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Vrt: A video restoration transformer
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Evalcrafter: Benchmarking and evalu- ating large video generation models
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Decoupled Weight Decay Regularization
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Recurrent neural network based language model
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Sora, 2024
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Deep blind video super-resolution
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Scalable diffusion models with transformers
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Movie Gen: A Cast of Media Foundation Models
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Learning transferable visual models from natural language supervi- sion
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Exploring the limits of transfer learning with a unified text-to-text transformer
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution High-resolution image syn- thesis with latent diffusion models
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Frame-recurrent video super-resolution
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Progressive Distillation for Fast Sampling of Diffusion Models
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Rethinking alignment in video super- resolution transformers
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Make-A-Video: Text-to-Video Generation without Text-Video Data
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Exploiting diffusion prior for real-world image super-resolution
Reference 48
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STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 642a2580-b67c-438a-8df9-fb14f5ba00d4 · outbound
This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Edvr: Video restoration with enhanced deformable convolutional networks
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6995fb0-1f28-4c94-87f4-8fbba9a04010 · outbound
This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Reference 51
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c7acced8-75d7-45d3-8305-59821cb5f346 · outbound
This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a2033c9-7e3d-468f-8566-2ddd04618277 · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d20e555-9d8f-4108-a002-626d43ef8d36 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Image quality assessment: from error visibility to structural similarity
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d76a8a32-a11e-483a-87b4-e095cb61e334 · outbound
This paper cites Cbam: Convolutional block attention module.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Cbam: Convolutional block attention module
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1d03d842-5f09-4794-9009-0b538a18130f · outbound
This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f389094-31c9-4c2f-a10c-77f5de06e2e9 · outbound
This paper cites Seesr: Towards semantics-aware real-world image super-resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Seesr: Towards semantics-aware real-world image super-resolution
Reference 57
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 770087b1-79f9-4471-a298-01e6367001b8 · outbound
This paper cites Animesr: Learning real-world super-resolution models for animation videos.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Animesr: Learning real-world super-resolution models for animation videos
Reference 58
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c6a6df42-de0a-439f-87cc-3384a8e9ce26 · outbound
This paper cites Temporal modulation network for con- trollable space-time video super-resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Temporal modulation network for con- trollable space-time video super-resolution
Reference 59
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c6d16d5e-7086-4dcf-957a-580a35c1c38c · outbound
This paper cites Video enhancement with task-oriented flow.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Video enhancement with task-oriented flow
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaee0b3f-6171-4b29-9055-6599cb799ab9 · outbound
This paper cites Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Reference 61
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 716ff264-a425-465f-b13e-9e12608bcc0e · outbound
This paper cites Real- world video super-resolution: A benchmark dataset and a de- composition based learning scheme.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Real- world video super-resolution: A benchmark dataset and a de- composition based learning scheme
Reference 62
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 14839a2e-2dab-4a63-9b33-f0aeb0e72b3d · outbound
This paper cites Motion- guided latent diffusion for temporally consistent real-world video super-resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Motion- guided latent diffusion for temporally consistent real-world video super-resolution
Reference 63
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 01f99f22-d1c0-4e61-b807-f0d5cb23febb · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 64
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcb24b4d-0037-4b39-acf9-c046d40cd24a · outbound
This paper cites Progressive fusion video super-resolution net- work via exploiting non-local spatio-temporal correlations.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Progressive fusion video super-resolution net- work via exploiting non-local spatio-temporal correlations
Reference 65
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1ed4f607-aa87-41e2-a086-27db2980464c · outbound
This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild
Reference 66
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eb4ccf3e-cc91-408f-9328-72f1e61b7018 · outbound
This paper cites Inflation with diffusion: Efficient temporal adaptation for text-to-video super-resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Inflation with diffusion: Efficient temporal adaptation for text-to-video super-resolution
Reference 67
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d9a9a507-05a6-4764-9dc0-a0fefadd6d2d · outbound
This paper cites Resshift: Efficient diffusion model for image super- resolution by residual shifting.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Resshift: Efficient diffusion model for image super- resolution by residual shifting
Reference 68
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 267095a2-ff30-412b-8410-191256a7c1d3 · outbound
This paper cites A feature-enriched completely blind image quality evaluator.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution A feature-enriched completely blind image quality evaluator
Reference 69
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1d88ec74-f36d-4b48-aef9-f98a13f8ceb2 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Adding conditional control to text-to-image diffusion models
Reference 70
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fbb1746-b013-4f13-9462-7d2a6c877e7b · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution The unreasonable effectiveness of deep features as a perceptual metric
Reference 71
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa497491-5e48-4e37-bfb9-f394db4d1ab6 · outbound
This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Reference 72
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22e7fa9d-d023-43d5-bf00-9b36a3c4cf7a · outbound
This paper cites Realviformer: Investigating attention for real-world video super-resolution.ECCV, 2024.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Realviformer: Investigating attention for real-world video super-resolution.ECCV, 2024
Reference 73
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b0ecfa8c-2865-4a4c-b949-29b345c2ea75 · outbound
This paper cites Wavelet-based fourier information interaction with fre- quency diffusion adjustment for underwater image restora- tion.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Wavelet-based fourier information interaction with fre- quency diffusion adjustment for underwater image restora- tion
Reference 74
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 966b44a9-ca62-49af-97df-c0dd65efd423 · outbound
This paper cites Upscale-a-video: Temporal- consistent diffusion model for real-world video super- resolution.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Upscale-a-video: Temporal- consistent diffusion model for real-world video super- resolution
Reference 75
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Source-reported events for the cited work
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Pith citing papers
Observation bab01413-31c5-4a6b-afa6-023c3ae30dcc · inbound
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis cites this paper.
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 36
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d774d6d9-24b5-4f95-b06c-22e9a893a19f · inbound
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling cites this paper.
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8263e13a-b045-4144-830f-b9f122a0a4d3 · inbound
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space cites this paper.
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ae9a46f-81e3-4b1a-9ef3-e620afd1251a · inbound
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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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 470269dd-675d-4f30-be2f-3ed7a2fb4e10 · inbound
TurboVSR: Fantastic Video Upscalers and Where to Find Them cites this paper.
TurboVSR: Fantastic Video Upscalers and Where to Find Them STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 59
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26ada9cd-1465-4d2a-8e6c-3cf2af90cc41 · inbound
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution cites this paper.
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 856ad5e8-0443-4c3a-8a86-2ab154bbbb58 · inbound
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration cites this paper.
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d11615f-15a2-4a41-8bae-c6fdfe3b630c · inbound
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Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9f4afd23-685b-40e6-8a50-a3b142e3f600 · inbound
LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts cites this paper.
LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f898423b-dc1b-404c-af31-0f598feb267d · inbound
ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation cites this paper.
ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 65
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3e44da64-13e2-416d-a7b9-ed49cc7efb7a · inbound
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Persistent Free Volume Governs (Anti)plasticization in Chitosan-Water Mixtures STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbed8da0-49f0-44c9-94be-1b9c9950ead8 · inbound
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DVFace: Spatio-Temporal Dual-Prior Diffusion for Video Face Restoration STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d483a1c5-0d44-4b23-befe-1b6b9e78956d · inbound
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DiffST: Spatiotemporal-Aware Diffusion for Real-World Space-Time Video Super-Resolution STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 50
- Resolution
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- arxiv_id, observed 2026-05-14T20:29:27.625333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8fdb9a37-62de-48f1-b808-c46a5093ce2f · inbound
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DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 702221e4-5795-4782-bf69-f4fd7ee6d34f · inbound
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Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 102
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation af08fef3-0528-45d7-bce0-2da33fc592d3 · inbound
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LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 12
- Resolution
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- arxiv_id, observed 2026-07-03T00:17:29.626720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e1af788c-82cb-40d4-9414-aface67d8884 · inbound
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SATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:44:40.025264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.