PR-312: Generative Models as Distributions of Functions

PR-338: Alias-Free Generative Adversarial Networks (StyleGAN3)

PR-385: Generative Modeling by Estimating Gradients of the Data Distribution

PR-071: Categorical Reparameterization with Gumbel Softmax

PR-400: Score-based Generative Modeling Through Stochastic Differential Equations

PR-374: Fourier Features Let Networks Learn High-Frequency Functions in Low Dimensional Domains

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MIT 6.S191: Deep Generative Modeling

PR-087: Spectral Normalization for Generative Adversarial Networks

PR-056: Capsule Network

PR-013: Domain Adversarial Training of Neural Network

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PR-034: Inception and Xception