EGC: Image Generation and Classification via a Diffusion Energy-Based Model-Reference-Cited by-同舟云学术

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EGC: Image Generation and Classification via a Diffusion Energy-Based Model

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Guo Qiushan¹,Ma Chuofan¹,Jiang Yi²,Yuan Zehuan²,Yu Yizhou¹,Luo Ping¹

Affiliation:

1. The University of Hong Kong

2. ByteDance Inc.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377583.pdf?arnumber=10377583

Reference70 articles.

1. Large scale gan training for high fidelity natural image synthesis;Brock,2018

2. Residual flows for invertible generative modeling;Chen;Advances in Neural Information Processing Systems,2019

3. ImageNet: A large-scale hierarchical image database

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

5. Improved contrastive divergence training of energy based models;Du,2020

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1. AI meets physics: a comprehensive survey;Artificial Intelligence Review;2024-08-16

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