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Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision.
Image Style Transfer Using Convolutional Neural Networks. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 2414–2423
Leon A Gatys, Alexander S Ecker, and Matthias Bethge. 2016 · 2016
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Deep residual learning for image recognition. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution. In Proc. European Conf. Computer Vision . Springer, 694–711
Justin Johnson, Alexandre Alahi, and Fei Fei Li. 2016 · 2016
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Artistic style transfer for videos. In German conference on pattern recognition . Springer, 26–36
Manuel Ruder, Alexey Dosovitskiy, and Thomas Brox. 2016 · 2016
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Painting style transfer for head portraits using convolutional neural networks
Ahmed Selim, Mohamed Elgharib, and Linda Doyle. 2016 · 2016
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Coherent online video style transfer. In Proc. Int’l Conf. Computer Vision . 1105–1114
Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, and Gang Hua. 2017 · 2017
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Characterizing and improving stability in neural style transfer. In Proc. Int’l Conf. Computer Vision . 4067–4076
Agrim Gupta, Justin Johnson, Alexandre Alahi, and Li Fei-Fei. 2017 · 2017
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Real-time neural style transfer for videos. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 783–791
Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, and Wei Liu. 2017 · 2017
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Image-to-Image Translation with Conditional Adversarial Networks. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 5967–5976
Phillip Isola, Jun Yan Zhu, Tinghui Zhou, and Alexei A. Efros. 2017 · 2017
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. In Proc. Int’l Conf. Computer Vision . 2242–2251
Jun Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros. 2017 · 2017
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CariGANs: unpaired photo-to-caricature translation
Kaidi Cao, Jing Liao, and Lu Yuan. 2018 · 2018
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition
Ting Chun Wang, Ming Yu Liu, Jun Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. 2018 · 2018
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Bisenet: Bilateral segmentation network for real-time semantic segmentation. In Proc. European Conf. Computer Vision . Springer, 334–349
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang. 2018 · 2018
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Image2stylegan: How to embed images into the stylegan latent space?. In Proc. Int’l Conf. Computer Vision . 4432–4441
Rameen Abdal, Yipeng Qin, and Peter Wonka. 2019 · 2019
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AnimeGAN: A novel lightweight gan for photo animation. In International Symposium on Intelligence Computation and Applications . Springer, 242–256
Jie Chen, Gang Liu, and Xin Chen. 2019 · 2019
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A style-based generator architecture for generative adversarial networks. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 4401–4410
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
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U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. In Proc. Int’l Conf. Learning Representations
Junho Kim, Minjae Kim, Hyeonwoo Kang, and Kwang Hee Lee. 2019 · 2019
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FaceForensics++: Learning to Detect Manipulated Facial Images. In Proc. Int’l Conf. Computer Vision
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner. 2019 · 2019
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First order motion model for image animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe. 2019 · 2019
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GANSpace: Discovering Interpretable GAN controls. In Advances in Neural Information Processing Systems
Erik Härkönen, Aaron Hertzman, Jaakko Lehtinen, and Sylvain Paris. 2020 · 2020
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Breaking the cycle-colleagues are all you need. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 7860–7869
Ori Nizan and Ayellet Tal. 2020 · 2020
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Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains
Justin NM Pinkney and Doron Adler. 2020 · 2020
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Interpreting the latent space of gans for semantic face editing. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 9243–9252
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou. 2020 · 2020
Encoding in style: a stylegan encoder for image-to-image translation. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or. 2021 · 2021
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SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. In Proc. Int’l Conf. Computer Vision . 6546–6555
Xuning Shao and Weidong Zhang. 2021 · 2021
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Closed-form factorization of latent semantics in gans. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 1532–1540
Yujun Shen and Bolei Zhou. 2021 · 2021
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AgileGAN: stylizing portraits by inversion-consistent transfer learning
Guoxian Song, Linjie Luo, Jing Liu, Wan-Chun Ma, Chunpong Lai, Chuanxia Zheng, and Tat-Jen Cham. 2021 · 2021
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Designing an encoder for stylegan image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or. 2021 · 2021
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Cited alongside, same era.
Raft: Recurrent all-pairs field transforms for optical flow. In Proc. European Conf. Computer Vision . Springer, 402–419
Zachary Teed and Jia Deng. 2020 · 2020
Cited alongside, same era.
Stylegan2 distillation for feed-forward image manipulation. In Proc. European Conf. Computer Vision . Springer, 170–186
Yuri Viazovetskyi, Vladimir Ivashkin, and Evgeny Kashin. 2020 · 2020
Cited alongside, same era.
Consistent video style transfer via compound regularization, Vol. 34. 12233–12240
Wenjing Wang, Jizheng Xu, Li Zhang, Yue Wang, and Jiaying Liu. 2020 · 2020
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Restyle: A residual-based stylegan encoder via iterative refinement. In Proc. Int’l Conf. Computer Vision . 6711–6720
Yuval Alaluf, Or Patashnik, and Daniel Cohen-Or. 2021 · 2021
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GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition
Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy. 2021 · 2021
Cited alongside, same era.
GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation
Min Jin Chong and David Forsyth. 2021 · 2021
Cited alongside, same era.
Stylevideogan: A temporal generative model using a pretrained stylegan. In Proc. British Machine Vision Conference
Gereon Fox, Ayush Tewari, Mohamed Elgharib, and Christian Theobalt. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
A latent transformer for disentangled face editing in images and videos. In Proc. Int’l Conf. Computer Vision . 13789–13798
Xu Yao, Alasdair Newson, Yann Gousseau, and Pierre Hellier. 2021 · 2021
Later among the works it cites.
Barbershop: GAN-based image compositing using segmentation masks
Peihao Zhu, Rameen Abdal, John Femiani, and Peter Wonka. 2021a · 2021
Later among the works it cites.
Hyperinverter: Improving stylegan inversion via hypernetwork. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 11389–11398
Tan M Dinh, Anh Tuan Tran, Rang Nguyen, and Binh-Son Hua. 2022 · 2022
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StyleGAN-NADA: CLIP-guided domain adaptation of image generators
Rinon Gal, Or Patashnik, Haggai Maron, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2022 · 2022
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Depth-Aware Generative Adversarial Network for Talking Head Video Generation. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition
Fa-Ting Hong, Longhao Zhang, Li Shen, and Dan Xu. 2022 · 2022
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DeepFaceVideoEditing: Sketch-Based Deep Editing of Face Videos
Feng-Lin Liu, Shu-Yu Chen, Yu-Kun Lai, Chunpeng Li, Yue-Ren Jiang, Hongbo Fu, and Lin Gao. 2022 · 2022
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Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 11399–11409
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, and Krishna Kumar Singh. 2022 · 2022
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Pivotal tuning for latent-based editing of real images
Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or. 2022 · 2022
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Stitch it in Time: GAN-Based Facial Editing of Real Videos
Rotem Tzaban, Ron Mokady, Rinon Gal, Amit H. Bermano, and Daniel Cohen-Or. 2022 · 2022
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High-fidelity gan inversion for image attribute editing. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition . 11379–11388
Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, and Qifeng Chen. 2022 · 2022
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Gan inversion: A survey
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang. 2022 · 2022
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Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer. In Proc. IEEE Int’l Conf. Computer Vision and Pattern Recognition
Shuai Yang, Liming Jiang, Ziwei Liu, and Chen Change Loy. 2022 · 2022
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