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Improving Few-shot Image Generation by Structural Discrimination and
  Textural Modulation

Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation

30 August 2023
Mengping Yang
Zhe Wang
Wenyi Feng
Qian Zhang
Tingzhe Xiao
    DiffM
ArXivPDFHTML

Papers citing "Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation"

7 / 7 papers shown
Title
Improving GANs with A Dynamic Discriminator
Improving GANs with A Dynamic Discriminator
Ceyuan Yang
Yujun Shen
Yinghao Xu
Deli Zhao
Bo Dai
Bolei Zhou
TTA
53
23
0
20 Sep 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
489
0
01 Feb 2022
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited
  Data
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
89
104
0
12 Nov 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
165
234
0
12 Jan 2021
MatchingGAN: Matching-based Few-shot Image Generation
MatchingGAN: Matching-based Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
VLM
GAN
53
68
0
07 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
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