TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward explores TDM-R1 is a reinforcement learning method that improves few-step text-to-image models with non-differentiable rewards, achieving state-of-the-art performance and scaling effectively to strong generative models.. Commercial viability score: 8/10 in Generative Models.
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