FastVR builds on a one-step diffusion transformer, eliminating the iterative denoising loop of multi-step baselines such as Vivid-VR.
One-step diffusion framework restores 1080p video in real time with efficient streaming attention
FastVR combines a lightweight VAE with chunk-wise causal attention to cut the two dominant costs of diffusion video restoration while maintaining state-of-the-art quality.
Chinese Tech
Xiaoxu Chen · Qin Yang · Haoran Bai · Sibin Deng · Ying Chen
Alibaba Group · Xidian University
Research Digest··3 min read
Chen et al.
Why this paper
From Alibaba Group and Xidian University
In one line
FastVR restores high-resolution video at 11 FPS using a one-step diffusion model with a lightweight VAE and chunk-wise causal attention.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
§