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This work was supported by National Natural Science Foundation of China (No. 61521002).
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Wen-Yang Zhou is currently a Ph.D. student in the Department of Computer Science and Technology, Tsinghua University, Beijing. His research interests include computer graphics, image analysis, and computer vision.
Guo-Wei Yang is currently a Ph.D. student in the Department of Computer Science and Technology, Tsinghua University. His research interests include computer graphics, image analysis, and computer vision.
Shi-Min Hu received his Ph.D. degree from Zhejiang University, in 1996. He is currently a professor with the Department of Computer Science and Technology, Tsinghua University. He has authored over 100 papers. His research interests include digital geometry processing, video processing, rendering, computer animation, and computer-aided geometric design. He is the Editor-in-Chief of Computational Visual Media, and on the Editorial Board of several other journals, including Computer Aided Design and Computer & Graphics (both Elsevier).
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Zhou, WY., Yang, GW. & Hu, SM. Jittor-GAN: A fast-training generative adversarial network model zoo based on Jittor. Comp. Visual Media 7, 153–157 (2021). https://doi.org/10.1007/s41095-021-0203-2
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DOI: https://doi.org/10.1007/s41095-021-0203-2