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PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
8 February 2023
Yilun Xu
Ziming Liu
Yonglong Tian
Shangyuan Tong
Max Tegmark
Tommi Jaakkola
AI4CE
DiffM
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Papers citing
"PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"
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Title
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
303
10,368
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12 Dec 2018
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