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Poster
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Wed 18:30
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Stein Latent Optimization for Generative Adversarial Networks
Uiwon Hwang · Heeseung Kim · Dahuin Jung · Hyemi Jang · Hyungyu Lee · Sungroh Yoon
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Workshop
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Conditional Generative Quantile Networks via Optimal Transport
Jesse Sun · Dihong Jiang · Yaoliang Yu
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Spotlight
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Mon 10:30
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On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
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Poster
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Mon 10:30
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On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
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Poster
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Mon 10:30
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MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk
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Poster
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Thu 10:30
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TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
Zijie Li · Tianqin Li · Amir Barati Farimani
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Poster
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Mon 10:30
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Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
Peihao Zhu · Rameen Abdal · John Femiani · Peter Wonka
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Workshop
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Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations
Hao Shen · Weikang Wan · He Wang
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Poster
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Thu 2:30
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Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
Biao Zhang · Peter Wonka
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Poster
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Thu 2:30
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PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew · Tsubasa Takahashi · Michihiko Ueno
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Poster
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Thu 10:30
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Minimax Optimization with Smooth Algorithmic Adversaries
Tanner Fiez · Chi Jin · Praneeth Netrapalli · Lillian J Ratliff
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Poster
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Mon 2:30
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Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Mohamad Shahbazi · Martin Danelljan · Danda Paudel · Luc Van Gool
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