Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-Face-Restoration
A comprehensive list of recources (papers, repositories etc.) about face restoration methods.
https://github.com/TaoWangzj/Awesome-Face-Restoration
Last synced: 3 days ago
JSON representation
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Surveys
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Deep Face Super-Resolution
- [paper - wang/URDGN)\]|GAN|
- [paper
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - Face-Super-Resolution)\]|CNN|
- [paper - Face-Hallucination)\]|CNN|
- [paper - wang/URDGN)\]|GAN|
- [paper
- [paper
- [paper - wang/URDGN)\]|GAN|
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - and-Image-super-resolution)\]|GAN|
- [paper
- [paper - Face-Super-Resolution)\]|CNN|
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - Celeb-1M)\]|CNN|
- [paper - 98/SCGAN)\]|GAN|
- [paper
- [paper - cs/SFMNet)\]|CNN|
- [paper
- [paper
- [paper - cv/DBTC)\]|ViT|
- [paper
- [paper - 98/SCGAN)\]|GAN|
- [paper
- [paper
- [paper
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - Celeb-1M)\]|CNN|
- [paper - wang/URDGN)\]|GAN|
- [paper - 98/SCGAN)\]|GAN|
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Deep Blind Face Restoration
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Deep Face Deblurring
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Image Quality Assessment
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Other Related Works
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Benchmark Datasets
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Recommended Datasets
- EDFace-Celeb
- PFHQ
- FFHQ - paired dataset|
- LFW-Test - paired real-world dataset|
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All Datasets
- BioID
- CelebA
- IMDB-WIKI - foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Rothe_DEX_Deep_EXpectation_ICCV_2015_paper.pdf)|2015|
- LFW - 00321923/file/Huang_long_eccv2008-lfw.pdf)|2008|
- Pubfig
- Multi-PIE - PIE](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873597/)|2010|
- AFLW - scale, real-world database for facial landmark localization](https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_befit_11.pdf)|2011|
- 300W - the-Wild Challenge: The first facial landmark localization Challenge](https://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Sagonas_300_Faces_in-the-Wild_2013_ICCV_paper.pdf)|2013|
- CASIA-WebFace
- LSUN - Scale Image Dataset using Deep Learning with Humans in the Loop](https://Arxiv.org/pdf/1506.03365v3.pdf)|2015|
- VGGFace - 2768-45bb-8508-74747f85cad1/download_file?file_format=pdf&safe_filename=parkhi15.pdf&type_of_work=Confer)|2015|
- 300W-LP
- VoxCeleb1 - scale speaker identification dataset](https://Arxiv.org/pdf/1706.08612.pdf)|2017|
- LS3D-W balanced
- VGGFace2
- VoxCeleb2
- VFHQ - Quality Dataset and Benchmark for Video Face Super-Resolution](https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Xie_VFHQ_A_High-Quality_Dataset_and_Benchmark_for_Video_Face_Super-Resolution_CVPRW_2022_paper.pdf)|2022|
- visitors
- Helen - 3-642-33712-3_49.pdf)|2012|
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Deep Face Artifact Removal
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