Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations

no code implementations • 27 Nov 2023 • Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe

In this work, we address the challenge of multi-task image generation with limited data for denoising diffusion probabilistic models (DDPM), a class of generative models that produce high-quality images by reversing a noisy diffusion process.

Denoising Few-Shot Learning +2