Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

1 code implementation • 23 Jun 2022 • Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li

Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.

Conditional Image Generation Denoising