Data InStance Prior (DISP) in Generative Adversarial Networks

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Data InStance Prior (DISP) in Generative Adversarial Networks

8 December 2020

Balaji Krishnamurthy

V. Balasubramanian

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Papers citing "Data InStance Prior (DISP) in Generative Adversarial Networks"

6 / 6 papers shown

Title
Can Generative Models Improve Self-Supervised Representation Learning? Sana Ayromlou Arash Afkanpour Vahid Reza Khazaie Fereshteh Forghani 157 3 0 09 Mar 2024
Self-Guided Diffusion Models Vincent Tao Hu David W. Zhang Yuki M. Asano Gertjan J. Burghouts Cees G. M. Snoek 210 38 0 12 Oct 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs Ziqiang Li Chaoyue Wang Heliang Zheng Jing Zhang Bin Li 133 27 0 18 Jul 2022
A Comprehensive Survey on Data-Efficient GANs in Image Generation Ziqiang Li Beihao Xia Jing Zhang Chaoyue Wang Bin Li 126 34 0 18 Apr 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 185 99 0 16 Dec 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 376 147 0 10 Sep 2021