Zheng Chen

One-step diffusion for video face restoration is now viable, achieving state-of-the-art results by learning separate spatial and temporal priors.

A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.