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.
Realisvsr: Detail- enhanced diffusion for real-world 4k video super-resolution
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UHD-GPGNet combines Gaussian process guidance with local spatio-temporal modeling to denoise UHD videos efficiently while preserving details and generalizing to real noise.
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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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UHD-GPGNet: UHD Video Denoising via Gaussian-Process-Guided Local Spatio-Temporal Modeling
UHD-GPGNet combines Gaussian process guidance with local spatio-temporal modeling to denoise UHD videos efficiently while preserving details and generalizing to real noise.