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Generating photo-realistic images from a text description is a challenging problem in computer vision.
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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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Collaborative active learning of a kernel machine ensemble for recognition
Gang Hua, Chengjiang Long, Ming Yang, and Yan Gao · 2013
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Active visual recognition with expertise estimation in crowdsourcing
Chengjiang Long, Gang Hua, and Ashish Kapoor · 2013
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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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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Multi-class multi-annotator active learning with robust gaussian process for visual recognition
Chengjiang Long and Gang Hua · 2015
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A joint gaussian process model for active visual recognition with expertise estimation in crowdsourcing
Chengjiang Long, Gang Hua, and Ashish Kapoor · 2016
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Learning what and where to draw
Scott Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, and Honglak Lee · 2016
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Improved techniques for training gans
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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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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Stacked generative adversarial networks
Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, and Serge Belongie · 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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Correlational gaussian processes for cross-domain visual recognition
Chengjiang Long and Gang Hua · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. Metaxas · 2017
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Collaborative active visual recognition from crowds: A distributed ensemble approach
Gang Hua, Chengjiang Long, Ming Yang, and Yan Gao · 2018
Cited alongside, same era.
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 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.
Adversarial learning of semantic relevance in text to image synthesis
Miriam Cha, Youngjune L. Gwon, and H. T. Kung · 2019
Cited alongside, same era.
Argan: Attentive recurrent generative adversarial network for shadow detection and removal
Bin Ding, Chengjiang Long, Ling Zhang, and Chunxia Xiao · 2019
Cited alongside, same era.
Stackgan++: Realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. N. Metaxas · 2019
Later among the works it cites.
Rifegan: Rich feature generation for text-to-image synthesis from prior knowledge
Jun Cheng, Fuxiang Wu, Yanling Tian, Lei Wang, and Dapeng Tao · 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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Hierarchical modes exploring in generative adversarial networks
Mengxiao Hu, Jin long Li, Maolin Hu, and Tao Hu · 2020
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Doa-gan: Dual-order attentive generative adversarial network for image copy-move forgery detection and localization
Ashraful Islam, Chengjiang Long, Arslan Basharat, and Anthony Hoogs · 2020
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Hamid Eghbal-zadeh, Werner Zellinger, and Gerhard Widmer · 2019
Cited alongside, same era.
Alexia Jolicoeur-Martineau · 2019
Cited alongside, same era.
The relativistic discriminator: a key element missing from standard gan
Alexia Jolicoeurmartineau · 2019
Cited alongside, same era.
Object-driven text-to-image synthesis via adversarial training
Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, and Jianfeng Gao · 2019
Cited alongside, same era.
Storygan: A sequential conditional gan for story visualization
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, and Jianfeng Gao · 2019
Cited alongside, same era.
Cpgan: Full-spectrum content-parsing generative adversarial networks for text-to-image synthesis, 2019
Jiadong Liang, Wenjie Pei, and Feng Lu · 2019
Cited alongside, same era.
Deep neural networks in fully connected crf for image labeling with social network metadata
Chengjiang Long, Roddy Collins, Eran Swears, and Anthony Hoogs · 2019
Cited alongside, same era.
Arshadowgan: Shadow generative adversarial network for augmented reality in single light scenes
Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, and Chunxia Xiao · 2020
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Catgan: Category-aware generative adversarial networks with hierarchical evolutionary learning for category text generation
Zhiyue Liu, Jiahai Wang, and Zhiwei Liang · 2020
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Iterative and adaptive sampling with spatial attention for black-box model explanations
Bhavan Vasu and Chengjiang Long · 2020
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Stochastic conditional generative networks with basis decomposition
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, and Qiang Qiu · 2020
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Multi-context and enhanced reconstruction network for single image super resolution
Jiqing Zhang, Chengjiang Long, Yuxin Wang, Xin Yang, Haiyang Mei, and Baocai Yin · 2020
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Cla-gan: A context and lightness aware generative adversarial network for shadow removal
Ling Zhang, Chengjiang Long, Qingan Yan, Xiaolong Zhang, and Chunxia Xiao · 2020
Later among the works it cites.
Ris-gan: Explore residual and illumination with generative adversarial networks for shadow removal
Ling Zhang, Chengjiang Long, Xiaolong Zhang, and Chunxia Xiao · 2020
Later among the works it cites.
Lightweight dynamic conditional gan with pyramid attention for text-to-image synthesis
Lianli Gao, Daiyuan Chen, Zhou Zhao, Jie Shao, and Heng Tao Shen · 2021
Closest in time.
A novel visual representation on text using diverse conditional gan for visual recognition
Tao Hu, Chengjiang Long, and Chunxia Xiao · 2021
Closest in time.
A hybrid attention mechanism for weakly-supervised temporal action localization
Ashraful Islam, Chengjiang Long, and Richard Radke · 2021
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Text-to-image generation grounded by fine-grained user attention
Jing Yu Koh, Jason Baldridge, Honglak Lee, and Yinfei Yang · 2021
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Multi-sentence auxiliary adversarial networks for fine-grained text-to-image synthesis
Yanhua Yang, Lei Wang, De Xie, Cheng Deng, and Dacheng Tao · 2021
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A two-stage attentive network for single image super resolution
Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, and Baocai Yin Yin · 2021
Closest in time.