Fetching the paper…
Reading the bibliography…
Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs.
Image denoising via learned dictionaries and sparse representation
Michael Elad and Michal Aharon · 2006
Earlier work this paper cites.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
Earlier work this paper cites.
Image super-resolution via sparse representation
Jianchao Yang, John Wright, Thomas S Huang, and Yi Ma · 2010
Earlier work this paper cites.
Anchored neighborhood regression for fast example-based super-resolution
Radu Timofte, Vincent De Smet, and Luc Van Gool · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
A+: Adjusted anchored neighborhood regression for fast super-resolution
Radu Timofte, Vincent De Smet, and Luc Van Gool · 2014
Earlier work this paper cites.
Accelerating t-sne using tree-based algorithms
Laurens Van Der Maaten · 2014
Earlier work this paper cites.
Convolutional sparse coding for image super-resolution
Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, and Lei Zhang · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
WIDER FACE: A face detection benchmark
Shuo Yang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
FSRNet: End-to-end learning face super-resolution with facial priors
Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, and Jian Yang · 2018
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Earlier work this paper cites.
Learning warped guidance for blind face restoration
Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, and Ruigang Yang · 2018
Earlier work this paper cites.
Deep semantic face deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Recovering realistic texture in image super-resolution by deep spatial feature transform
Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2018
Cited alongside, same era.
Face super-resolution guided by facial component heatmaps
Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, and Richard Hartley · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
ArcFace: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Exemplar guided face image super-resolution without facial landmarks
Berk Dogan, Shuhang Gu, and Radu Timofte · 2019
GLEAN: Generative latent bank for large-factor image super-resolution
Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy · 2021
Later among the works it cites.
Progressive semantic-aware style transformation for blind face restoration
Chaofeng Chen, Xiaoming Li, Lingbo Yang, Xianhui Lin, Lei Zhang, and Kwan-Yee K Wong · 2021
Later among the works it cites.
Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
Later among the works it cites.
Image inpainting via conditional texture and structure dual generation
Xiefan Guo, Hongyu Yang, and Di Huang · 2021
Later among the works it cites.
Practical single-image super-resolution using look-up table
Younghyun Jo and Seon Joo Kim · 2021
Later among the works it cites.
MUSIQ: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Face video deblurring using 3d facial priors
Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, and Xin Tong · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Image processing using multi-code gan prior
Jinjin Gu, Yujun Shen, and Bolei Zhou · 2020
Cited alongside, same era.
Face super-resolution guided by 3d facial priors
Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, and Wei Liu · 2020
Cited alongside, same era.
Blind face restoration via deep multi-scale component dictionaries
Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, and Lei Zhang · 2020
Cited alongside, same era.
Later among the works it cites.
Encoding in style: a StyleGAN encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
Later among the works it cites.
Towards real-world blind face restoration with generative facial prior
Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan · 2021
Later among the works it cites.
GAN prior embedded network for blind face restoration in the wild
Tao Yang, Peiran Ren, Xuansong Xie, and Lei Zhang · 2021
Later among the works it cites.
GLEAN: Generative latent bank for image super-resolution and beyond
Kelvin CK Chan, Xiangyu Xu, Xintao Wang, Jinwei Gu, and Chen Change Loy · 2022
Closest in time.
MaskGIT: Masked generative image transformer
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T Freeman · 2022
Closest in time.
Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
Closest in time.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Closest in time.
RestoreFormer: High-quality blind face restoration from undegraded key-value pairs
Zhouxia Wang, Jiawei Zhang, Runjian Chen, Wenping Wang, and Ping Luo · 2022
Closest in time.
Rethinking deep face restoration
Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong Li, Marius Renn, Yukun Zhu, Changyou Chen, and Xuhui Jia · 2022
Closest in time.
Blind face restoration via integrating face shape and generative priors
Feida Zhu, Junwei Zhu, Wenqing Chu, Xinyi Zhang, Xiaozhong Ji, Chengjie Wang, and Ying Tai · 2022
Closest in time.