Fetching the paper…
Reading the bibliography…
We propose a simple yet highly effective method that addresses the mode-collapse problem in the Conditional Generative Adversarial Network (cGAN).
Recognizing Human Actions: A Local SVM Approach
Christian Schuldt, Ivan Laptev, and Barbara Caputo · 2004
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Spatial Pattern Templates for Recognition of Objects with Regular Structure
Radim Šára Radim Tyleček · 2013
Earlier work this paper cites.
Fine-Grained Visual Comparisons with Local Learning
Aron Yu and Kristen Grauman · 2014
Earlier work this paper cites.
Deep Learning Face Attributes in the Wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Earlier work this paper cites.
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
SHI Xingjian, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li and Michael Wand · 2016
Earlier work this paper cites.
Context Encoders: Feature Learning by Inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
Earlier work this paper cites.
Improved Techniques for Training GANs
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Cited alongside, same era.
Tom White · 2016
Cited alongside, same era.
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
Cited alongside, same era.
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky and Léon Bottou · 2017
Cited alongside, same era.
Wasserstein Generative Adversarial Networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Cited alongside, same era.
Self-Supervised Visual Planning with Temporal Skip Connections
Frederik Ebert, Chelsea Finn, Alex X Lee, and Sergey Levine · 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava, Lazar Valkoz, Chris Russell, Michael U Gutmann, and Charles Sutton · 2017
Later among the works it cites.
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, and Honglak Lee · 2017
Later among the works it cites.
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
Later among the works it cites.
Stochastic Video Generation with a Learned Prior
Emily Denton and Rob Fergus · 2018
Later among the works it cites.
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi, and Honglak Lee · 2018
Later among the works it cites.
Multimodal Unsupervised Image-to-Image Translation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Improved Training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
Cited alongside, same era.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, and Sepp Hochreiter · 2017
Cited alongside, same era.
Stacked generative adversarial networks
Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, and Serge Belongie · 2017
Cited alongside, same era.
Globally and Locally Consistent Image Completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
Cited alongside, same era.
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Unrolled Generative Adversarial Networks
Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein · 2017
Cited alongside, same era.
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
Later among the works it cites.
Video Prediction with Appearance and Motion Conditions
Yunseok Jang, Gunhee Kim, and Yale Song · 2018
Later among the works it cites.
The GAN Landscape: Losses, Architectures, Regularization, and Normalization
Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, and Sylvain Gelly · 2018
Later among the works it cites.
Stochastic Adversarial Video Prediction
Alex X. Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, and Sergey Levine · 2018
Later among the works it cites.
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
Later among the works it cites.
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
Later among the works it cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Later among the works it cites.