Lune

CVPR2025Top-tier venue

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Jianyi Wang, Zhijie Lin, Meng Wei, Yang Zhao, Ceyuan Yang, Chen Change Loy, Lu Jiang

2025Year
15Top-tier citations

Abstract

Figure 1. Speed and performance comparisons. SeedVR demonstrates impressive restoration capabilities, offering fine details and enhanced visual realism. Despite its 2.48B parameters, SeedVR is over 2× faster than existing diffusion-based video restoration approaches [20, 64, 82]. With delicate designs, SeedVR is as efficient as the Stable Diffusion Upscaler [2], even with five times the parameter count.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext d7461b22-34c8-45d9-beba-cafeb624f91c

Cited by top-tier papers15

Ask how each one uses it

Builds on40

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines