Fetching the paper…
Reading the bibliography…
Conditional image generation is the task of generating diverse images using class label information.
Non-Cooperative Games
John Nash · 1951
Earlier work this paper cites.
Markov processes over denumerable products of spaces, describing large systems of automata
Leonid Nisonovich Vaserstein · 1969
Earlier work this paper cites.
Dimensionality Reduction by Learning an Invariant Mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Fei-Fei Li · 2009
Earlier work this paper cites.
Rectified Linear Units Improve Restricted Boltzmann Machines
Vinod Nair and Geoffrey E. Hinton · 2010
Earlier work this paper cites.
Learning Multiple Layers of Features from Tiny Images
Alex Krizhevsky · 2012
Earlier work this paper cites.
Quadruplet-Wise Image Similarity Learning
Marc T. Law, Nicolas Thome, and Matthieu Cord · 2013
Earlier work this paper cites.
Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Conditional Generative Adversarial Nets
Mehdi Mirza and Simon Osindero · 2014
Earlier work this paper cites.
Network In Network
Min Lin, Qiang Chen, and Shuicheng Yan · 2014
Earlier work this paper cites.
Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
Earlier work this paper cites.
Deep Metric Learning Using Triplet Network
Elad Hoffer and Nir Ailon · 2015
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
Earlier work this paper cites.
Deep learning and face recognition: the state of the art
Stephen Balaban · 2015
Earlier work this paper cites.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu, Naiyan Wang, Tianqi Chen, and Mu Li · 2015
Earlier work this paper cites.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
Earlier work this paper cites.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, and Ryota Tomioka · 2016
Earlier work this paper cites.
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Kihyuk Sohn · 2016
Earlier work this paper cites.
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
Earlier work this paper cites.
Wasserstein GAN
Martín Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Earlier work this paper cites.
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan and J. Zico Kolter · 2017
Earlier work this paper cites.
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhixiang Wang, and Stephen Paul Smolley · 2017
Earlier work this paper cites.
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky and Léon Bottou · 2017
Cited alongside, same era.
Geometric GAN
Jae Hyun Lim and Jong Chul Ye · 2017
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.
Conditional Image Synthesis with Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2017
Cited alongside, same era.
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock, Theodore Lim, James M. Ritchie, and Nick Weston · 2017
Cited alongside, same era.
No Fuss Distance Metric Learning Using Proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, and Saurabh Singh · 2017
Cited alongside, same era.
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Later among the works it cites.
LOGAN: Latent Optimisation for Generative Adversarial Networks
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, and Timothy P. Lillicrap · 2019
Later among the works it cites.
Whitening and Coloring Batch Transform for GANs
Aliaksandr Siarohin, Enver Sangineto, and Nicu Sebe · 2019
Later among the works it cites.
Ensemble Deep Manifold Similarity Learning Using Hard Proxies
Nicolas Aziere and Sinisa Todorovic · 2019
Later among the works it cites.
A Style-Based Generator Architecture for Generative Adversarial Networks
T. Karras, S. Laine, and T. Aila · 2019
Later among the works it cites.
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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
Cited alongside, same era.
A Learned Representation For Artistic Style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur · 2017
Cited alongside, same era.
Modulating early visual processing by language
Harm de Vries, Florian Strub, Jeremie Mary, Hugo Larochelle, Olivier Pietquin, and Aaron C Courville · 2017
Cited alongside, same era.
Image-to-Image Translation with Conditional Adversarial Networks
T. Zhou P. Isola, J. Zhu and A. A. Efros · 2017
Cited alongside, same era.
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
J. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Cited alongside, same era.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszár, José Antonio Caballero, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
Cited alongside, same era.
Later among the works it cites.
Protecting World Leaders Against Deep Fakes
Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li · 2019
Later among the works it cites.
Defending Against Neural Fake News
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi · 2019
Later among the works it cites.
Deepfake Video Detection through Optical Flow Based CNN
Irene Amerini, Leonardo Galteri, Roberto Caldelli, and Alberto Del Bimbo · 2019
Later among the works it cites.
The Unusual Effectiveness of Averaging in GAN Training
Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, and Vijay Chandrasekhar · 2019
Later among the works it cites.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Later among the works it cites.
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena, and Honglak Lee · 2020
Closest in time.
Improved Consistency Regularization for GANs
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, and Han Zhang · 2020
Closest in time.
Differentiable augmentation for data-efficient gan training
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, and Song Han · 2020
Closest in time.
Training generative adversarial networks with limited data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2020
Closest in time.
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton · 2020
Closest in time.
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Michael Opitz, Georg Waltner, Horst Possegger, and Horst Bischof · 2020
Closest in time.
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak · 2020
Closest in time.
Supervised Contrastive Learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan · 2020
Closest in time.
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
Closest in time.
Designing complex architectured materials with generative adversarial networks
Yunwei Mao, Qi He, and Xuanhe Zhao · 2020
Closest in time.
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials
Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, and Jianjun Hu · 2020
Closest in time.
CNN-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
Closest in time.
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Pu Sun, Honggang Qi, and Siwei Lyu · 2020
Closest in time.