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Remarkable achievements have been attained with Generative Adversarial Networks (GANs) in image-to-image translation.
A wavelet tour of signal processing
Stéphane Mallat · 1999
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Model compression
Cristian Buciluǎ, Rich Caruana, and Alexandru Niculescu-Mizil · 2006
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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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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2014
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Distillation as a defense to adversarial perturbations against deep neural networks
Nicolas Papernot, Patrick McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami · 2016
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Generating videos with scene dynamics
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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Wavelet convolutional neural networks for texture classification
Shin Fujieda, Kohei Takayama, and Toshiya Hachisuka · 2017
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Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution
Huaibo Huang, Ran He, Zhenan Sun, and Tieniu Tan · 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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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer
Sergey Zagoruyko and Nikos Komodakis · 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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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Learning a wavelet-like auto-encoder to accelerate deep neural networks
Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, and Lei Zhang · 2018
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Attention-gan for object transfiguration in wild images
Xinyuan Chen, Chang Xu, Xiaokang Yang, and Dacheng Tao · 2018
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Multi-level wavelet-cnn for image restoration
Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, and Wangmeng Zuo · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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Wavelet pooling for convolutional neural networks
Travis Williams and Robert Li · 2018
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Deep mutual learning
Ying Zhang, Tao Xiang, Timothy M Hospedales, and Huchuan Lu · 2018
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Variational information distillation for knowledge transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D Lawrence, and Zhenwen Dai · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Structured knowledge distillation for semantic segmentation
Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, and Jingdong Wang · 2019
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Improved knowledge distillation via teacher assistant: Bridging the gap between student and teacher
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, and Hassan Ghasemzadeh · 2019
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Gaugan: semantic image synthesis with spatially adaptive normalization
Attention distillation for learning video representations
Miao Liu, Xin Chen, Yun Zhang, Yin Li, and James M Rehg · 2020
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Self-distillation amplifies regularization in hilbert space
Hossein Mobahi, Mehrdad Farajtabar, and Peter L Bartlett · 2020
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Breaking the cycle-colleagues are all you need
Ori Nizan and Ayellet Tal · 2020
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Contrastive learning for unpaired image-to-image translation
Taesung Park, Alexei A Efros, Richard Zhang, and Jun-Yan Zhu · 2020
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Bert-of-theseus: Compressing bert by progressive module replacing
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, and Ming Zhou · 2020
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Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Relational knowledge distillation
Wonpyo Park, Dongju Kim, Yan Lu, and Minsu Cho · 2019
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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
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Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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Contrastive representation distillation
Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2019
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Similarity-preserving knowledge distillation
Frederick Tung and Greg Mori · 2019
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Be your own teacher: Improve the performance of convolutional neural networks via self distillation
Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, and Kaisheng Ma · 2019
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Revisiting knowledge distillation via label smoothing regularization
L. Yuan, F. E. Tay, G. Li, T. Wang, and J. Feng · 2020
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Task-oriented feature distillation
Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, and Chenglong Bao · 2020
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Artflow: Unbiased image style transfer via reversible neural flows
Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, and Jiebo Luo · 2021
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Dualast: Dual style-learning networks for artistic style transfer
Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, and Dongming Lu · 2021
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Style-aware normalized loss for improving arbitrary style transfer
Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, and Prem Natarajan · 2021
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Memory-guided unsupervised image-to-image translation
Somi Jeong, Youngjung Kim, Eungbean Lee, and Kwanghoon Sohn · 2021
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Teachers do more than teach: Compressing image-to-image models
Qing Jin, Jian Ren, Oliver J Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, and Sergey Tulyakov · 2021
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Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, and Rongrong Ji · 2021
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Image-to-image translation via hierarchical style disentanglement
Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, and Rongrong Ji · 2021
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Learning to warp for style transfer
Xiao-Chang Liu, Yong-Liang Yang, and Peter Hall · 2021
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Content-aware gan compression
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, and Sun-Yuan Kung · 2021
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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 · 2021
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Rethinking and improving the robustness of image style transfer
Pei Wang, Yijun Li, and Nuno Vasconcelos · 2021
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Improve object detection with feature-based knowledge distillation: Towards accurate and efficient detectors
Linfeng Zhang and Ma Kaisheng · 2021
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