DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution 事件

DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution arXiv:2605.30431v1 Announce Type: new Abstract: Recent progress in video diffusion models has enabled remarkable generative fidelity, yet leveraging these priors for restoration remains limited by the strong coupling between conditional and unconditional branches in standard classifier-free guidance. We introduce a training-free framework that enhances distorted and low-resolution videos by decoupling these si