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Awesome-Face-Restoration

A comprehensive list of recources (papers, repositories etc.) about face restoration methods.
https://github.com/TaoWangzj/Awesome-Face-Restoration

Last synced: 4 days ago
JSON representation

Surveys
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Deep Face Super-Resolution
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - Face-Hallucination)\]|CNN|
- [paper - wang/URDGN)\]|GAN|
- [paper
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- [paper - wang/URDGN)\]|GAN|
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- [paper - and-Image-super-resolution)\]|GAN|
- [paper
- [paper - Face-Super-Resolution)\]|CNN|
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- [paper - Celeb-1M)\]|CNN|
- [paper - 98/SCGAN)\]|GAN|
- [paper
- [paper - cs/SFMNet)\]|CNN|
- [paper
- [paper
- [paper - cv/DBTC)\]|ViT|
- [paper
- [paper - 98/SCGAN)\]|GAN|
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- [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|
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- [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 - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper
- [paper
- [paper - 98/SCGAN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
- [paper - wang/URDGN)\]|GAN|
Benchmark Datasets
- Recommended Datasets
  - LFW-Test - paired real-world dataset|
  - EDFace-Celeb
  - PFHQ
  - FFHQ - paired dataset|
- 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|
Deep Blind Face Restoration
- [paper
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- [paper
- [paper - SGPN)\]~~|GAN|
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- [paper - GK/AT-DDPM)\]|Diffusion|
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Image Quality Assessment
- Code
- Code
- Code
- Code
- Code
- Code
- Code
- Code
- Code
- Ref
- Ref
Deep Face Deblurring
- [paper - Semantic-Face-Deblurring)\]|CNN|
- [paper
- [paper
- [paper
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- [paper - Face-Deblurring)\]|CNN|
- [paper
Other Related Works
- Link
- Link
- Link
- Link
- Link
- Link
- Link
- Link
- Link
- Link
- Link
Deep Face Artifact Removal
- [paper - face-restoration-benchmark-datasets-and-a-baseline-model)\]|ViT|
- [paper

Programming Languages

Python 6 MATLAB 2 Jupyter Notebook 1

Ecosyste.ms: Awesome

Awesome-Face-Restoration

Surveys

Deep Face Super-Resolution

Benchmark Datasets

Recommended Datasets

All Datasets

Deep Blind Face Restoration

Image Quality Assessment

Deep Face Deblurring

Other Related Works

Deep Face Artifact Removal