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Recent advances on diffusion and GAN

Chieh-Hsin Lai · Yuhta Takida

Schubert 5
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Tue 7 May 3:45 a.m. PDT — 5:15 a.m. PDT


The rapid rise of deep generative models signifies a fundamental shift in AI research and applications, prompting significant questions worthy of exploration. There is a resurgence of interest in integrating Generative Adversarial Networks (GANs) with the DM to achieve rapid and high-fidelity generation. This event seeks to spark interactive discussions focused on improving training and sampling efficiency within the domain of DM and GAN.

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