{"url":"/method/gfp-gan","slug":"gfp-gan","name":"GFP-GAN","full_name":"GFP-GAN","full_name_withheld":false,"description_markdown":"**GFP-GAN** is a generative adversarial network for blind face restoration that leverages a generative facial prior (GFP). This Generative Facial Prior (GFP) is incorporated into the face restoration process via channel-split spatial feature transform layers, which allow for a good balance between realness and fidelity. As a whole, the GFP-GAN consists of a degradation removal module ([U-Net](https://paperswithcode.com/method/u-net)) and a pretrained face  [StyleGAN](https://paperswithcode.com/method/stylegan) as a facial prior. They are bridged by a latent code mapping and several Channel-Split [Spatial Feature Transform](https://paperswithcode.com/method/spatial-feature-transform) (CS-SFT) layers. During training, 1) intermediate restoration losses are employed to remove complex degradation, 2) Facial component loss with discriminators is used to enhance facial details, and 3) identity preserving loss is used to retain face identity.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2101.04061v2","title":"Towards Real-World Blind Face Restoration with Generative Facial Prior","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Face Restoration Models","url":"/methods/category/face-restoration-models","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/arc2face-a-foundation-model-of-human-faces","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","date":"2024-03-18","arxiv_id":"2403.11641","n_code_links":3,"syntology":{"ran":1,"of":4,"unverified":3,"pointer_only":3}},{"paper":null,"title":"Boosting Cross-Quality Face Verification using Blind Face Restoration","date":"2023-08-15","arxiv_id":"2308.07967","n_code_links":0,"syntology":null},{"paper":"/paper/towards-real-world-blind-face-restoration","title":"Towards Real-World Blind Face Restoration with Generative Facial Prior","date":"2021-01-11","arxiv_id":"2101.04061","n_code_links":1,"syntology":null}],"papers_shown":3,"tasks":[{"task":"/task/blind-face-restoration","name":"Blind Face Restoration","papers":2},{"task":"/task/face-recognition","name":"Face Recognition","papers":2},{"task":"/task/diffusion-personalization","name":"Diffusion Personalization","papers":1},{"task":"/task/diffusion-personalization-tuning-free","name":"Diffusion Personalization Tuning Free","papers":1},{"task":"/task/face-generation","name":"Face Generation","papers":1},{"task":"/task/face-verification","name":"Face Verification","papers":1},{"task":"/task/video-super-resolution","name":"Video Super-Resolution","papers":1}],"tasks_shown":7,"n_tasks":7,"usage_by_year":[{"year":"2021","papers":1},{"year":"2023","papers":1},{"year":"2024","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/gfp-gan"},"syntology_read_at":"2026-09-25T09:33:49+00:00"}