Training Diffusion Models with Reinforcement Learning

Training Diffusion Models with Reinforcement Learning






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Diffusion models have recently emerged as the de facto standard for generating complex, high-dimensional outputs. You may know them for their ability to produce stunning AI art and hyper-realistic synthetic images, but they have also found success in other applications such as drug design and continuous control. The key idea behind diffusion models is to iteratively transform random noise into a sample, such as an image or protein structure. This is …

ai art applications art continuous control design diffusion diffusion models drug design found images reinforcement reinforcement learning standard success synthetic them training