When, Why, and Which Pretrained GANs Are Useful?

17 February 2022

Papers citing "When, Why, and Which Pretrained GANs Are Useful?"

9 / 9 papers shown

Title
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 37 0 0 15 Oct 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 53 1 0 01 Jul 2024
UGC: Unified GAN Compression for Efficient Image-to-Image Translation Yuxi Ren Jie Wu Peng Zhang Manlin Zhang Xuefeng Xiao Qian He Rui Wang Min Zheng Xin Pan 21 2 0 17 Sep 2023
Content-Based Search for Deep Generative Models Daohan Lu Sheng-Yu Wang Nupur Kumari Rohan Agarwal Mia Tang David Bau Jun-Yan Zhu DiffM SyDa 30 5 0 06 Oct 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs Ziqiang Li Chaoyue Wang Heliang Zheng Jing Zhang Bin Li 21 23 0 18 Jul 2022
Designing an Encoder for StyleGAN Image Manipulation Omer Tov Yuval Alaluf Yotam Nitzan Or Patashnik Daniel Cohen-Or 200 776 0 04 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 189 539 0 08 Mar 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,387 0 21 Nov 2016