HyperDomainNet: Universal Domain Adaptation for Generative Adversarial
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HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

17 October 2022

Dmitry Vetrov

Papers citing "HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks"

9 / 9 papers shown

Title
Transfer Learning for Diffusion Models Yidong Ouyang Liyan Xie Hongyuan Zha Guang Cheng DiffM 55 2 0 27 May 2024
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models Nikita Starodubcev Dmitry Baranchuk Valentin Khrulkov Artem Babenko DiffM 29 4 0 10 Apr 2023
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model Gwanghyun Kim S. Chun DiffM 18 39 0 29 Nov 2022
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks Peihao Zhu Rameen Abdal John C. Femiani Peter Wonka GAN 135 80 0 15 Oct 2021
Designing an Encoder for StyleGAN Image Manipulation Omer Tov Yuval Alaluf Yotam Nitzan Or Patashnik Daniel Cohen-Or 191 775 0 04 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 153 227 0 12 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 210 1,153 0 24 Oct 2016