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One of the important research topics in image generative models is to disentangle the spatial contents and styles for their separate control.
Automated flower classification over a large number of classes
Maria-Elena Nilsback and Andrew Zisserman · 2008
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The caltech-ucsd birds-200-2011 dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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3d object representations for fine-grained categorization
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei · 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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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Ladder variational autoencoders
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, and Ole Winther · 2016
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Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning
Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, and Tat-Seng Chua · 2017
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Semantically decomposing the latent spaces of generative adversarial networks
Chris Donahue, Zachary C Lipton, Akshay Balsubramani, and Julian McAuley · 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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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Learning hierarchical features from generative models
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 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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Generative adversarial image synthesis with decision tree latent controller
Takuhiro Kaneko, Kaoru Hiramatsu, and Kunio Kashino · 2018
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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A unified feature disentangler for multi-domain image translation and manipulation
Alexander H Liu, Yen-Cheng Liu, Yu-Ying Yeh, and Yu-Chiang Frank Wang · 2018
Cited alongside, same era.
Unsupervised attention-guided image-to-image translation
Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, and Kwang In Kim · 2018
Cited alongside, same era.
Which training methods for GANs do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
Cited alongside, same era.
Generative adversarial network with spatial attention for face attribute editing
Gang Zhang, Meina Kan, Shiguang Shan, and Xilin Chen · 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.
Disentangling disentanglement in variational autoencoders
Emile Mathieu, Tom Rainforth, N Siddharth, and Yee Whye Teh · 2019
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Finegan: Unsupervised hierarchical disentanglement for fine-grained object generation and discovery
Krishna Kumar Singh, Utkarsh Ojha, and Yong Jae Lee · 2019
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Explicit disentanglement of appearance and perspective in generative models
Nicki Skafte and Søren Hauberg · 2019
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Diversity-sensitive conditional generative adversarial networks
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, and Honglak Lee · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
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Semantic component decomposition for face attribute manipulation
Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I Pao, Jiaya Jia, et al · 2019
Cited alongside, same era.
Dual attention network for scene segmentation
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, and Hanqing Lu · 2019
Cited alongside, same era.
Attgan: Facial attribute editing by only changing what you want
Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen · 2019
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.
Style and content disentanglement in generative adversarial networks
Hadi Kazemi, Seyed Mehdi Iranmanesh, and Nasser Nasrabadi · 2019
Cited alongside, same era.
Content and style disentanglement for artistic style transfer
Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, and Bjorn Ommer · 2019
Cited alongside, same era.
Infogan-cr: Disentangling generative adversarial networks with contrastive regularizers
Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, and Sewoong Oh · 2019
Cited alongside, same era.
Yazeed Alharbi and Peter Wonka · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Spa-gan: Spatial attention gan for image-to-image translation
Hajar Emami, Majid Moradi Aliabadi, Ming Dong, and Ratna Chinnam · 2020
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Improving style-content disentanglement in image-to-image translation
Aviv Gabbay and Yedid Hoshen · 2020
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Progressive learning and disentanglement of hierarchical representations
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, and Linwei Wang · 2020
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Vsgnet: Spatial attention network for detecting human object interactions using graph convolutions
Oytun Ulutan, ASM Iftekhar, and Bangalore S Manjunath · 2020
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Csanet: Channel and spatial mixed attention cnn for pedestrian detection
Yunbo Zhang, Pengfei Yi, Dongsheng Zhou, Xin Yang, Deyun Yang, Qiang Zhang, and Xiaopeng Wei · 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.