Dual Projection Generative Adversarial Networks for Conditional Image Generation-Reference-Cited by-同舟云学术

Dual Projection Generative Adversarial Networks for Conditional Image Generation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Han Ligong¹,Min Martin Renqiang²,Stathopoulos Anastasis¹,Tian Yu¹,Gao Ruijiang³,Kadav Asim²,Metaxas Dimitris¹

Affiliation:

1. Rutgers University,Department of Computer Science

2. NEC Labs America

3. The University of Texas at Austin,McCombs School of Business

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711101.pdf?arnumber=9711101

Reference40 articles.

1. Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks;zhang;2017 IEEE International Conference on Computer Vision (ICCV),2016

2. Self-attention generative adversarial networks;zhang,2018

3. Conditional image synthesis with auxiliary classifier gans;odena,0

4. f-gan: Training generative neural samplers using variational divergence minimization;nowozin;Advances in neural information processing systems,2016

5. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

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