UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging With Unpaired Data

Author:

Li Ru1ORCID,Wang Chuan2ORCID,Wang Jue3ORCID,Liu Guanghui4ORCID,Zhang Heng-Yu1,Zeng Bing1ORCID,Liu Shuaicheng1ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Megvii Technology, Chengdu, China

3. Tencent AI Laboratory, Shenzhen, China

4. Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

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1. Multi-exposure high dynamic range imaging based on LSGAN;Displays;2024-07

2. A Comparative Analysis of DCGAN and WGAN in Logo Generation;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

3. A Modern Approach to High Dynamic Range Image Processing with Machine Learning Architectures;2024 XXVII International Conference on Soft Computing and Measurements (SCM);2024-05-22

4. Improving the Fairness of the Min-Max Game in GANs Training;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Towards High-quality HDR Deghosting with Conditional Diffusion Models;IEEE Transactions on Circuits and Systems for Video Technology;2024

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