Video Restoration
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Benchmarks
Most implemented
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Recurrent Video Restoration Transformer with Guided Deformable Attention
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
Reference-based Restoration of Digitized Analog Videotapes
Progressive Training of A Two-Stage Framework for Video Restoration
Papers
Bi-FlowGS: Bridging Generative View Completion and Gaussian Geometry through Bidirectional Flow Co-Refinement
Sparse-view 3D scene reconstruction with 3D Gaussian Splatting (3DGS) is inherently underconstrained. Plausible renderings can also coexist with erroneous Gaussian geometry, as errors in positions or depths may be concea…
Video RestorationLynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows
Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without guaranteed success, and long-horizon scenes drift in appearance, interactions, and temporal coherence. A…
Instruction FollowingVideo RestorationVideo GenerationBinarized High-Efficiency RAW Video Restoration and Beyond
RAW video restoration is fundamental to high-quality low-level perception and serves as the basis for a wide range of downstream vision applications. While binary neural networks (BNNs) enable efficient lightweight deplo…
Monocular Depth EstimationVideo RestorationImage EnhancementObject DetectionDART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
Archival film restoration is a challenging problem because historical footage contains compound degradations such as scratches, dust, blur, noise, flicker, and photometric aging, while clean reference videos are unavaila…
Video RestorationSATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending
While diffusion models excel in video restoration, their reliance on extensive iterative steps limits efficiency. Conversely, aggressive single-step distillation often compromises fine texture recovery. To achieve an opt…
Video RestorationTIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration
Face Video Restoration (FVR) aims to recover high-fidelity facial videos from degraded input while preserving identity and semantic consistency across frames. Existing methods often struggle to simultaneously address thr…
Video RestorationVideo Generation