Stream-DiffVSR enables practical low-latency video super-resolution by combining a four-step distilled denoiser, auto-regressive temporal guidance, and a temporal processor in a strictly causal pipeline.
Edvr: Video restoration with enhanced deformable convolutional networks
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The NTIRE 2026 Challenge establishes a benchmark for bitstream-corrupted video restoration and summarizes the top methods and observed trends from participating teams.
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Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion
Stream-DiffVSR enables practical low-latency video super-resolution by combining a four-step distilled denoiser, auto-regressive temporal guidance, and a temporal processor in a strictly causal pipeline.
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NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results
The NTIRE 2026 Challenge establishes a benchmark for bitstream-corrupted video restoration and summarizes the top methods and observed trends from participating teams.