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] .
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Install the CLIlune papers fulltext 300d8622-c5a9-45d2-93fe-42bfc2ad85c3Cited by top-tier papers42
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Builds on15
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- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 13,211 citations
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- ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsJooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon et al.ICCV 2021 · 933 citations
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