Leaderboards/Generative Adversarial Networks and Image Synthesis

Generative Adversarial Networks and Image Synthesis

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Lvmin Zhang
Stanford University
2
Florinel-Alin Croitoru
University of Bucharest
3
Chitwan Saharia
Google (United States)
4
Andreas Lugmayr
Google (United States)
5
William Peebles
University of California, Los Angeles
6
Omri Avrahami
Hebrew University of Jerusalem
7
Zhenda Xie
Tsinghua University
8
Alhassan Mumuni
Cape Coast Technical University
9
Jooyoung Choi
Seoul National University
10
Rinon Gal
Tel Aviv University

Rising Stars Papers

1
Automated data processing and feature engineering for deep learning and big data applications: A survey
Journal of Information and Intelligence|2024
134 cit.
2
Transparent Image Layer Diffusion using Latent Transparency
ACM Transactions on Graphics|2024
29 cit.
3
Breathing Life Into Sketches Using Text-to-Video Priors
Unknown Journal|2024
23 cit.
4
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Knowledge and Information Systems|2025
22 cit.
5
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Unknown Journal|2024
21 cit.
6
Learning Rate Curriculum
International Journal of Computer Vision|2024
21 cit.
7
DiffUHaul: A Training-Free Method for Object Dragging in Images
Unknown Journal|2024
10 cit.
8
Lightning fast video anomaly detection via multi-scale adversarial distillation
Computer Vision and Image Understanding|2024
6 cit.
9
Stable Flow: Vital Layers for Training-Free Image Editing
Unknown Journal|2025
6 cit.
10
Reverse Stable Diffusion: What prompt was used to generate this image?
Computer Vision and Image Understanding|2024
5 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Stephen Paul Smolley
Hatch (Canada)
2
Alexander Lerchner
Google (United States)
3
Kfir Aberman
Google (United States)
4
Jung-Woo Ha
Naver (South Korea)
5
Mohammad Norouzi
Qazvin Islamic Azad University
6
Ziwei Liu
Nanyang Technological University
7
Han Hu
Microsoft Research Asia (China)
8
Zhanhao Zhang
China Railway Group (China)
9
Mike Zheng Shou
National University of Singapore
10
Fuseini Mumuni
University of Mines and Technology

Emerging Leaders Papers

1
Learning to Prompt for Vision-Language Models
International Journal of Computer Vision|2022
2.7k cit.
2
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Unknown Journal|2023
1.9k cit.
3
Video Swin Transformer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
1.9k cit.
4
Image Super-Resolution Via Iterative Refinement
IEEE Transactions on Pattern Analysis and Machine Intelligence|2022
1.6k cit.
5
Conditional Prompt Learning for Vision-Language Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
1.5k cit.
6
SimMIM: a Simple Framework for Masked Image Modeling
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
1.1k cit.
7
Auto-Encoding Variational Bayes
Cambridge Explorations in Arts and Sciences|2024
1k cit.
8
Data augmentation: A comprehensive survey of modern approaches
Array|2022
800 cit.
9
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Unknown Journal|2023
480 cit.
10
Generalized Out-of-Distribution Detection: A Survey
International Journal of Computer Vision|2024
422 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Yoshua Bengio
Université de Montréal
2
Alexei A. Efros
Berkeley College
3
Geoffrey E. Hinton
University of Toronto
4
Björn Ommer
Heidelberg University
5
Taghi M. Khoshgoftaar
Florida Atlantic University
6
Trevor Darrell
Berkeley College
7
Matthias Bethge
Max Planck Institute for Biological Cybernetics
8
Max Welling
University of California, Irvine
9
Serge Belongie
University of Copenhagen
10
Andrea Vedaldi
University of Oxford

Current Senior Leaders Papers

1
ImageNet classification with deep convolutional neural networks
Communications of the ACM|2017
75.7k cit.
2
Visualizing Data using t-SNE
Journal of Machine Learning Research|2008
35.7k cit.
3
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
Unknown Journal|2017
21.9k cit.
4
Reducing the Dimensionality of Data with Neural Networks
Science|2006
21k cit.
5
A Fast Learning Algorithm for Deep Belief Nets
Neural Computation|2006
16.4k cit.
6
Auto-Encoding Variational Bayes
UvA-DARE (University of Amsterdam)|2013
15.6k cit.
7
High-Resolution Image Synthesis with Latent Diffusion Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
13.7k cit.
8
Generative adversarial networks
Communications of the ACM|2020
13.6k cit.
9
Rectified Linear Units Improve Restricted Boltzmann Machines
International Conference on Machine Learning|2010
13.2k cit.
10
Understanding the difficulty of training deep feedforward neural networks
Unknown Journal|2010
12.7k cit.

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