AI RESEARCH
DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution
arXiv CS.CV
•
ArXi:2605.30431v1 Announce Type: new 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