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Generative Adversarial Networks and Image Synthesis

TopicLeading institutions, researchers & key papers

Generative Adversarial Networks and Image Synthesis is a topic indexed in ScholarIQ from OpenAlex.

What is known about Generative Adversarial Networks and Image Synthesis?

ScholarIQrecord summary

This cluster of papers focuses on the application of Generative Adversarial Networks (GANs) in image processing, including image synthesis, style transfer, representation learning, and unsupervised learning. The papers cover various techniques such as image inpainting, texture synthesis, and conditional generative models using deep learning and neural networks.

How many works does Generative Adversarial Networks and Image Synthesis have?

ScholarIQindexed works

Generative Adversarial Networks and Image Synthesis has 95 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Generative Adversarial Networks and Image Synthesis?

ScholarIQopenalex

The OpenAlex for Generative Adversarial Networks and Image Synthesis is on the source record.

What are the most-cited papers on Generative Adversarial Networks and Image Synthesis?

ScholarIQmost cited works
Image inpainting
Marcelo Bertalmı́o, Guillermo Sapiro, V. Caselles, Coloma Ballester
20003,594 CitationsOPEN ACCESS
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl‐Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
arXiv (Cornell University). 20201,282 CitationsOPEN ACCESS
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito, Eiichi Matsumoto, Shunta Saito
2017416 Citations
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
arXiv (Cornell University). 2021383 CitationsOPEN ACCESS
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, María del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
arXiv (Cornell University). 2018361 CitationsOPEN ACCESS

Where is Generative Adversarial Networks and Image Synthesis research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Generative Adversarial Networks and Image Synthesis is open access?

ScholarIQopen access share
53%OPEN ACCESS
Gold
20%
Green
33%
Hybrid
0%
Bronze
0%
Closed
47%

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