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Hairstyle transfer is challenging due to hair structure differences in the source and target hair.
Single-view hair modeling for portrait manipulation
Menglei Chai, Lvdi Wang, Yanlin Weng, Yizhou Yu, Baining Guo, and Kun Zhou · 2012
Earlier work this paper cites.
Dynamic hair manipulation in images and videos
Menglei Chai, Lvdi Wang, Yanlin Weng, Xiaogang Jin, and Kun Zhou · 2013
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Hair interpolation for portrait morphing
Yanlin Weng, Lvdi Wang, Xiao Li, Menglei Chai, and Kun Zhou · 2013
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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High-quality hair modeling from a single portrait photo
Menglei Chai, Linjie Luo, Kalyan Sunkavalli, Nathan Carr, Sunil Hadap, and Kun Zhou · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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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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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
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Image-to-image translation with conditional adversarial networks
P. Isola, J. Zhu, T. Zhou, and A. A. Efros · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Perceptual generative adversarial networks for small object detection
J. Li, X. Liang, Y. Wei, T. Xu, J. Feng, and S. Yan · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Real-time hair rendering using sequential adversarial networks
Vladimir Kim, Ersin Yumer, and Hao Li · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
T. Wang, M. Liu, J. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Free-form image inpainting with gated convolution
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. Huang · 2019
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Few-shot adversarial learning of realistic neural talking head models
E. Zakharov, A. Shysheya, E. Burkov, and V. Lempitsky · 2019
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Image2stylegan++: How to edit the embedded images?
R. Abdal, Y. Qin, and P. Wonka · 2020
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Neural head reenactment with latent pose descriptors
Egor Burkov, Igor Pasechnik, Artur Grigorev, and Victor Lempitsky · 2020
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Collaborative learning for faster stylegan embedding, 2020
Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, and Xiaokang Yang · 2020
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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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Cited alongside, same era.
Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
Cited alongside, same era.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros · 2019
Cited alongside, same era.
Graphonomy: Universal human parsing via graph transfer learning
Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, and Liang Lin · 2019
Cited alongside, same era.
Sc-fegan: Face editing generative adversarial network with user’s sketch and color
Youngjoo Jo and Jongyoul Park · 2019
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
Cited alongside, same era.
Later among the works it cites.
Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2020
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Adversarial latent autoencoders
Stanislav Pidhorskyi, Donald A Adjeroh, and Gianfranco Doretto · 2020
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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 · 2020
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Michigan: Multi-input-conditioned hair image generation for portrait editing
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, and Nenghai Yu · 2020
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Hierarchical multi-scale attention for semantic segmentation
A. Tao, K. Sapra, and Bryan Catanzaro · 2020
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Object-contextual representations for semantic segmentation
Yuhui Yuan, Xilin Chen, and Jingdong Wang · 2020
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In-domain gan inversion for real image editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, and Bolei Zhou · 2020
Later among the works it cites.