Video Denoising
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Benchmarks
Set8 sigma50
DAVIS sigma40
DAVIS sigma50
Set8 sigma40
DAVIS sigma20
DAVIS sigma30
Set8 sigma20
Set8 sigma30
DAVIS sigma10
Set8 sigma10
CRVD
VideoLQ
Most implemented
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Recurrent Video Restoration Transformer with Guided Deformable Attention
Video Enhancement with Task-Oriented Flow
NeRV: Neural Representations for Videos
Papers
What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling
World action models (WAMs) predict the future alongside actions during training. Due to the heavy computation cost of video denoising, whether the future must still be generated during inference is disputed: Explicit WAM…
Video DenoisingAdaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features
Large video diffusion models provide rich spatiotemporal priors for autonomous driving, but existing world-action models often inherit the cost of iterative future-video generation even though deployment only requires an…
Autonomous DrivingVideo GenerationVideo DenoisingUNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation
World Action Models (WAMs) have shown strong potential for improving action generalization in autonomous driving by using future video prediction as dense supervision for scene dynamics and temporal causality. However, i…
Autonomous DrivingVideo PredictionVideo DenoisingNext Forcing: Causal World Modeling with Multi-Chunk Prediction
Autoregressive video generation has emerged as a powerful paradigm for World Action Models (WAMs). However, existing approaches suffer from slow training convergence and limited converged accuracy, particularly at high f…
Video GenerationVideo DenoisingSANTS: A State-Adaptive Scheduler for World Action Models
World Action Models (WAMs) improve robot manipulation by using video-based future representations to condition action generation. In pixel-space WAMs, however, the best action condition is not necessarily the fully denoi…
Robot ManipulationVideo DenoisingStreamChar: Long-Horizon Streaming Character Audio-Video Generation with Decoupled Orchestration
Real-time streaming joint audio-video generation for character animation requires a generator to speak the requested transcript, maintain visual identity across chunks, and run within a strict playback budget. These requ…
Video GenerationVideo Denoising