Diffusion Model - Afternoon with Green Tea

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Diffusion Model

Generative Models that create new content, like images or audio, by learning how to reverse a process that gradually adds random noise to existing data.

Reinforcement Learning

Diffusion Model via RL

Training Diffusion Models with Reinforcement Learning tries to apply HFRL to diffusion model, aiming at better generation of high quality images. The Noising and denosing processes in Diffiusion Modeal, assumes Markov propertiy and the final latent distribution to learn $ p_{\theta} (x_{t-1} | x_t) $ The loss function for Diffusion