Pinterest Researchers Present an Effective Scalable Algorithm to Improve Diffusion Models Using Reinforcement Learning (RL)

Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This process allows these models to achieve state-of-the-art image quality, making them one of the most significant developments in Machine Learning (ML) in the past few […]

The post Pinterest Researchers Present an Effective Scalable Algorithm to Improve Diffusion Models Using Reinforcement Learning (RL) appeared first on MarkTechPost.

ai shorts algorithm applications art artificial intelligence computer vision data diffusion diffusion models editors pick generative generative models image learn making noise pinterest process quality reinforcement reinforcement learning researchers scalable set staff state tech news technology them training training data work