Lune

CVPR2023Top-tier venue

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration

Zhixin Wang, Ziying Zhang, Xiaoyun Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang

2023Year
42Top-tier citations

Abstract

Ours Figure 1. DR2 uses Denoising Diffusion Probabilistic Models to remove degradation. The generative process is conditioned on the low-quality input after being diffused into a noisy status. As a result, DR2 predicts coarse faces x0 regardless of the degradation type. On severely degraded images, our final restoration results achieve high quality with fewer artifacts than previous arts [14, 48] .

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 300d8622-c5a9-45d2-93fe-42bfc2ad85c3

Cited by top-tier papers42

Ask how each one uses it

Builds on15

Related papers

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