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Few-Shot Adaptation of Generative Adversarial Networks

Few-Shot Adaptation of Generative Adversarial Networks

22 October 2020
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
ArXivPDFHTML

Papers citing "Few-Shot Adaptation of Generative Adversarial Networks"

19 / 19 papers shown
Title
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
Dar-Yen Chen
A. Bhunia
Subhadeep Koley
Aneeshan Sain
Pinaki Nath Chowdhury
Yi-Zhe Song
26
8
0
07 Dec 2023
Few-shot Image Generation via Style Adaptation and Content Preservation
Few-shot Image Generation via Style Adaptation and Content Preservation
Xiaosheng He
Fan Yang
Fayao Liu
Guosheng Lin
24
0
0
30 Nov 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared
  Representations
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
Delaram Pirhayatifard
Taha Toghani
Guha Balakrishnan
César A. Uribe
DiffM
30
0
0
27 Nov 2023
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Seogkyu Jeon
Bei Liu
Pilhyeon Lee
Kibeom Hong
Jianlong Fu
H. Byun
45
1
0
21 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy
Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang
Zhe Wang
28
8
0
31 Jul 2023
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
Yuxuan Duan
Li Niu
Y. Hong
Liqing Zhang
55
12
0
11 May 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Yuxuan Duan
Y. Hong
Li Niu
Liqing Zhang
33
51
0
04 Mar 2023
Text-driven Visual Synthesis with Latent Diffusion Prior
Text-driven Visual Synthesis with Latent Diffusion Prior
Tingbo Liao
Songwei Ge
Yiran Xu
Yao-Chih Lee
Badour Albahar
Jia-Bin Huang
DiffM
30
6
0
16 Feb 2023
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image
  Diffusion for 3D Generative Model
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim
S. Chun
DiffM
25
39
0
29 Nov 2022
Few-shot Image Generation via Masked Discrimination
Few-shot Image Generation via Masked Discrimination
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
27
12
0
27 Oct 2022
One-Shot Synthesis of Images and Segmentation Masks
One-Shot Synthesis of Images and Segmentation Masks
V. Sushko
Dan Zhang
Juergen Gall
Anna Khoreva
32
6
0
15 Sep 2022
MyStyle: A Personalized Generative Prior
MyStyle: A Personalized Generative Prior
Yotam Nitzan
Kfir Aberman
Qiurui He
O. Liba
Michal Yarom
Yossi Gandelsman
Inbar Mosseri
Yael Pritch
Daniel Cohen-or
32
25
0
31 Mar 2022
One-Shot Adaptation of GAN in Just One CLIP
One-Shot Adaptation of GAN in Just One CLIP
Gihyun Kwon
Jong Chul Ye
VLM
35
43
0
17 Mar 2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural
  Alignment
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
Jiayu Xiao
Liang Li
Chaofei Wang
Zhengjun Zha
Qingming Huang
GAN
35
73
0
06 Mar 2022
JoJoGAN: One Shot Face Stylization
JoJoGAN: One Shot Face Stylization
Min Jin Chong
David A. Forsyth
CVBM
GAN
31
69
0
22 Dec 2021
One-Shot Generative Domain Adaptation
One-Shot Generative Domain Adaptation
Ceyuan Yang
Yujun Shen
Zhiyi Zhang
Yinghao Xu
Jiapeng Zhu
Zhirong Wu
Bolei Zhou
24
49
0
18 Nov 2021
Projected GANs Converge Faster
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
47
234
0
01 Nov 2021
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson
Yuval Alaluf
Or Patashnik
Yotam Nitzan
Yaniv Azar
Stav Shapiro
Daniel Cohen-Or
58
1,098
0
03 Aug 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
10,354
0
12 Dec 2018
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