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[NeurIPS 2025] Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
The main features of pris-cv/ssdiff are: Face Restoration.
Projects with overlapping indexed features include: chenxx89/bfrffusion — Official codes of Towards Real-World Blind Face Restoration with Generative Diffusion Prior. ethanliang99/authface — AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior (ACM MM 2025 Oral). jiatongli2024/quantface — PyTorch code for our paper "QuantFace: Low-Bit Post-Training Quantization for One-Step Diffusion Face Restoration". jkwang28/honestfacee. jkwang28/osdface — Official Repo for CVPR 2025 paper "OSDFace: One-Step Diffusion Model for Face Restoration". nithin-gk/at-ddpm — [WACV '23] AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models.
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior (ACM MM 2025 Oral)
PyTorch code for our paper "QuantFace: Low-Bit Post-Training Quantization for One-Step Diffusion Face Restoration"
Official codes of Towards Real-World Blind Face Restoration with Generative Diffusion Prior