StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators-Reference-Cited by-同舟云学术

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StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators

Published:2024-01-03 Issue: Volume:34 Page:5441-5451
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Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Song Kunpeng¹,Han Ligong¹,Liu Bingchen²,Metaxas Dimitris¹,Elgammal Ahmed¹

Affiliation:

1. Rutgers University

2. Bytedance Inc

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484324.pdf?arnumber=10484324

Reference59 articles.

1. Efficient Geometry-aware 3D Generative Adversarial Networks

2. Stargan v2: Diverse image synthesis for multiple domains;Choi;CoRR,2019

3. Diffusion posterior sampling for general noisy inverse problems;Chung,2022

4. Diffusion models beat gans on image synthesis;Dhariwal;Advances in Neural Information Processing Systems,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. WordDiffuser: Helping Beginners Cognize and Memorize Glyph-Semantic Pairs Using Diffusion;2023 16th International Symposium on Computational Intelligence and Design (ISCID);2023-12-16

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