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FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

Mengping Yang
Zhe Wang
Ziqiu Chi
Yanbing Zhang
ArXiv (abs)PDFHTML

Papers citing "FreGAN: Exploiting Frequency Components for Training GANs under Limited Data"

4 / 4 papers shown
Title
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
152
9
0
23 May 2024
Wavelet Diffusion Models are fast and scalable Image Generators
Wavelet Diffusion Models are fast and scalable Image Generators
Hao Phung
Quan Dao
Anh Tran
DiffM
97
98
0
29 Nov 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
118
7
0
31 May 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Yaoyu Zhang
FaML
92
74
0
19 Jan 2022

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