Pinterest Researchers Present An Effective Scalable Algorithm To Improve Diffusion Models Using Reinforcement Learning (rl)

Diffusion models are a type of generative model that uses noise to train and produce high-quality images. However, their performance can be affected by biases and stereotypes in the training data. To address this, researchers have proposed a reinforcement learning framework for fine-tuning diffusion models, resulting in more human-aligned outputs.