most citedAvoiding mode collapse in diffusion models fine-tuned with reinforcement learning

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Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Roberto Barceló, Cristóbal Alcázar, Felipe Tobar

Fine-tuning foundation models via reinforcement learning (RL) has proven promising for aligning to downstream objectives. In the case of diffusion models (DMs), though RL training…