PR-363: Sketch Your Own GAN

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

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

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

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

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PR-312: Generative Models as Distributions of Functions

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EE837 (Fall 2024): Guiding Instruction-based Image Editing via Multimodal Large Language Models

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KAIST XAI Tutorial 2024 | Explaining Generative LLMs:Prompting-based Explanations | Cheongwoong Kang

PR-061: Understanding Deep Learning Requires Rethinking Generalization

PR-323: Separation and Concentration in Deep Networks

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