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Poster
Mon 9:00 Using latent space regression to analyze and leverage compositionality in GANs
Lucy Chai · Jonas Wulff · Phillip Isola
Poster
Mon 9:00 Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh · Sharare Zehtabian · Saeed Vahidian · Weijia Wang · Bill Lin · Ladislau Boloni
Poster
Tue 17:00 Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Peiye Zhuang · Sanmi Koyejo · Alex Schwing
Poster
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
Workshop
Fri 11:41 Contributed Talk: Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data
Alberto Olmo · Niharika Jain
Poster
Tue 9:00 Taming GANs with Lookahead-Minmax
Tatjana Chavdarova · Matteo Pagliardini · Sebastian Stich · Fran├žois Fleuret · Martin Jaggi
Poster
Mon 17:00 Decentralized Attribution of Generative Models
Changhoon Kim · Yi Ren · 'YZ' Yezhou Yang
Workshop
Fri 7:51 Contributed Talk: Ensembles of GANs for synthetic training data generation
Gabriel Eilertsen
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
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
Tue 9:00 DINO: A Conditional Energy-Based GAN for Domain Translation
Konstantinos Vougioukas · Stavros Petridis · Maja Pantic
Poster
Wed 17:00 GANs Can Play Lottery Tickets Too
Xuxi Chen · Zhenyu Zhang · Yongduo Sui · Tianlong Chen