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Face synthesis is an important problem in computer vision with many applications.
“Image quality assessment: from error visibility to structural similarity,”
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli, · 2004
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“Neural networks for machine learning - lecture 6a - overview of mini-batch gradient descent.,”
Geoffrey Hinton, · 2012
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“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
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“Deep generative image models using a laplacian pyramid of adversarial networks,”
Emily L Denton, Soumith Chintala, Rob Fergus, et al., · 2015
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“Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2015
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“Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,”
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang, · 2016
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Martin Arjovsky, Soumith Chintala, and Léon Bottou, · 2017
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“Unsupervised image-to-image translation networks,”
Ming-Yu Liu, Thomas Breuel, and Jan Kautz, · 2017
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“Image-to-image translation with conditional adversarial networks,”
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros, · 2017
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“Unpaired image-to-image translation using cycle-consistent adversarial networks,”
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros, · 2017
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“How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks),”
Adrian Bulat and Georgios Tzimiropoulos, · 2017
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“Human pose regression by combining indirect part detection and contextual information,”
Diogo C Luvizon, Hedi Tabia, and David Picard, · 2017
Cited alongside, same era.
“Cartoongan: Generative adversarial networks for photo cartoonization,”
Yang Chen, Yu-Kun Lai, and Yong-Jin Liu, · 2018
Cited alongside, same era.
“Stargan: Unified generative adversarial networks for multi-domain image-to-image translation,”
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo, · 2018
Cited alongside, same era.
“Deep video portraits,”
Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, and Christian Theobalt, · 2018
Cited alongside, same era.
“Reenactgan: Learning to reenact faces via boundary transfer,”
Wayne Wu, Yunxuan Zhang, Cheng Li, Chen Qian, and Chen Change Loy, · 2018
Cited alongside, same era.
“A style-based generator architecture for generative adversarial networks,”
Tero Karras, Samuli Laine, and Timo Aila, · 2019
Later among the works it cites.
“Few-shot adversarial learning of realistic neural talking head models,”
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor Lempitsky, · 2019
Later among the works it cites.
“Deep high-resolution representation learning for human pose estimation,”
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang, · 2019
Later among the works it cites.
“Aggregation via separation: Boosting facial landmark detector with semi-supervised style translation,”
Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, and Jiaya Jia, · 2019
Later among the works it cites.
“Few-shot unsupervised image-to-image translation,”
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, and Jan Kautz, · 2019
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“Progressive growing of GANs for improved quality, stability, and variation,”
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen, · 2018
Cited alongside, same era.
“Ganimation: Anatomically-aware facial animation from a single image,”
Albert Pumarola, Antonio Agudo, Aleix M Martinez, Alberto Sanfeliu, and Francesc Moreno-Noguer, · 2018
Cited alongside, same era.
“Gp-gan: Gender preserving gan for synthesizing faces from landmarks,”
Xing Di, Vishwanath A Sindagi, and Vishal M Patel, · 2018
Cited alongside, same era.
“Numerical coordinate regression with convolutional neural networks,”
Aiden Nibali, Zhen He, Stuart Morgan, and Luke Prendergast, · 2018
Cited alongside, same era.
“Look at boundary: A boundary-aware face alignment algorithm,”
Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, and Qiang Zhou, · 2018
Cited alongside, same era.
“X2face: A network for controlling face generation using images, audio, and pose codes,”
Olivia Wiles, A Sophia Koepke, and Andrew Zisserman, · 2018
Cited alongside, same era.
Later among the works it cites.
“First order motion model for image animation,”
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe, · 2019
Later among the works it cites.
“Marionette: Few-shot face reenactment preserving identity of unseen targets,”
Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, and Dongyoung Kim, · 2020
Closest in time.
“Analyzing and improving the image quality of stylegan,”
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila, · 2020
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“Icface: Interpretable and controllable face reenactment using gans,”
Soumya Tripathy, Juho Kannala, and Esa Rahtu, · 2020
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“Deep image spatial transformation for person image generation,”
Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H Li, and Ge Li, · 2020
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“Freenet: Multi-identity face reenactment,”
Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, and Changjie Fan, · 2020
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