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Oral
Mon 5:15 Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
Xingang Pan · Bo DAI · Ziwei Liu · Chen Change Loy · Ping Luo
Poster
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
Poster
Mon 9:00 Using latent space regression to analyze and leverage compositionality in GANs
Lucy Chai · Jonas Wulff · Phillip Isola
Poster
Tue 1:00 Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
Xingang Pan · Bo DAI · Ziwei Liu · Chen Change Loy · Ping Luo
Poster
Tue 9:00 Taming GANs with Lookahead-Minmax
Tatjana Chavdarova · Matteo Pagliardini · Sebastian Stich · François Fleuret · Martin Jaggi
Poster
Tue 9:00 Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu · Yizhe Zhu · Kunpeng Song · Ahmed Elgammal
Poster
Tue 9:00 Understanding Over-parameterization in Generative Adversarial Networks
Yogesh Balaji · Mohammadmahdi Sajedi · Neha Kalibhat · Mucong Ding · Dominik Stöger · Mahdi Soltanolkotabi · Soheil Feizi
Poster
Tue 17:00 CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
Xin Ding · Yongwei Wang · Zuheng Xu · William J Welch · Z. J Wang
Poster
Tue 17:00 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert
Spotlight
Wed 4:20 Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita · Hiroki Ohashi · Yuichi Nonaka · Takashi Kanemaru
Poster
Wed 17:00 GANs Can Play Lottery Tickets Too
Xuxi Chen · Zhenyu Zhang · Yongduo Sui · Tianlong Chen
Poster
Wed 17:00 Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Tanner Fiez · Lillian J Ratliff