Adaptive Destruction Processes for Diffusion Samplers

Timofei Gritsaev, Nikita Morozov, Kirill Tamogashev +5

This paper explores the challenges and benefits of a trainable destruction process in diffusion samplers -- diffusion-based generative models trained to sample an unnormalised dens…