FastVR: Efficient Streaming Video Restoration with One-Step Diffusion

arXiv:2609.36757 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/chenxx89/FastVR

Project page: https://chenxx89.github.io/projects/fastvr

Terminology

• Consistency — 16× in this paper · explained in 3 episodes
• Distillation — 10× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Diffusion Model — 8× in this paper · explained in 8 episodes
• Fidelity — 6× in this paper · explained in 2 episodes
• Temporal consistency — 6× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Distribution Matching — 3× in this paper · explained in 2 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Latent Representation — 2× in this paper · explained in 2 episodes
• Two-stage training — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Distillation — 1× in this paper · explained in 7 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes

Sources

• SATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending
• Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration
• DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
• DUO-VSR: Dual-Stream Distillation for One-Step Video Super-Resolution
• Score-Based Generative Modeling through Stochastic Differential Equations
• Wan: Open and Advanced Large-Scale Video Generative Models
• SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
• FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution

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