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8 Results:SS:GENERATIVEADVERSARIALNETWORK 0.734 sec.
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1
Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and Their Applications
Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and Their Applications
Yang, Nan. | University of California, Berkeley | 2019
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2
Generative Models for Problems in Imaging Science
Generative Models for Problems in Imaging Science
Kelkar, Varun Ajit. | University of Illinois at Urbana-Champaign | 2023
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3
Understanding Generative Models: From Theory to Applications
Understanding Generative Models: From Theory to Applications
Dou, Zehao. | Yale University | 2025
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4
Deep Learning Applied to Image and Video Processing
Deep Learning Applied to Image and Video Processing
Wang, Xijun. | Northwestern University | 2024
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5
Disentangled Visual Generative Models
Disentangled Visual Generative Models
Epstein, Dave. | University of California, Berkeley | 2024
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6
Fidelity, Fairness and Responsibility Through the Lens of Sequential Decision Making
Fidelity, Fairness and Responsibility Through the Lens of Sequential Decision Making
Sun, He. | Harvard University | 2024
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7
Serial Dependence Study in Medical Image Perception via Generative Models
Serial Dependence Study in Medical Image Perception via Generative Models
Ren, Zhihang. | University of California, Berkeley | 2024
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8
Human-Centric Deep Generative Models: The Blessing and the Curse
Human-Centric Deep Generative Models: The Blessing and the Curse
Yu, Ning. | University of Maryland, College Park | 2021
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