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ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot
  Image-to-Image Translation

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation

1 June 2019
Jianxin Lin
Yingce Xia
Sen Liu
Tao Qin
Zhibo Chen
    VLM
ArXivPDFHTML

Papers citing "ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation"

6 / 6 papers shown
Title
Zero-Shot Visual Concept Blending Without Text Guidance
Zero-Shot Visual Concept Blending Without Text Guidance
Hiroya Makino
Takahiro Yamaguchi
Hiroyuki Sakai
DiffM
43
0
0
27 Mar 2025
ACE: Zero-Shot Image to Image Translation via Pretrained
  Auto-Contrastive-Encoder
ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder
Sihan Xu
Zelong Jiang
Ruisi Liu
Kai-Lin Yang
Zhijie Huang
VLM
25
1
0
22 Feb 2023
FakeNews: GAN-based generation of realistic 3D volumetric data -- A
  systematic review and taxonomy
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
André Ferreira
Jianning Li
Kelsey L. Pomykala
Jens Kleesiek
Victor Alves
Jan Egger
MedIm
26
22
0
04 Jul 2022
Leveraging Local Domains for Image-to-Image Translation
Leveraging Local Domains for Image-to-Image Translation
Anthony DellÉva
Fabio Pizzati
Massimo Bertozzi
Raoul de Charette
21
2
0
09 Sep 2021
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered
  Face Images
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
Stephan J. Garbin
Marek Kowalski
Matthew W. Johnson
Jamie Shotton
3DH
25
9
0
26 Jun 2020
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
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