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Why Diffusion Models Don’t Memorize: The Role of Implicit. . . TL;DR: Implicit dynamical regularization during training gives diffusion models a generalization window that widens with the training set size, so stopping within this window prevents memorization Diffusion models have achieved remarkable success across a wide range of generative tasks
Why Diffusion Models Dont Memorize: The Role of Implicit Dynamical . . . This repository contains the theoretical analysis and numerical experiments for the paper Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training by T Bonnaire, R Urfin, G Biroli and M Mézard
Why Diffusion Models Dont Memorize: The Role of Implicit Dynamical . . . This repository contains code for the theoretical analysis and numerical experiments for the paper Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training by T Bonnaire, R Urfin, G Biroli and M Mézard
Why Diffusion Models Dont Memorize: The Role of Implicit . . . 摘要： Diffusion models have achieved remarkable success across a wide range of generative tasks A key challenge is understanding the mechanisms that prevent their memorization of training data and allow generalization In this work, we investigate the role of the training dynamics in the transition from generalization to memorization Through extensive experiments and theoretical analysis
CV之DiffusionModels：《Why Diffusion Models Don‘t . . . 文章浏览阅读643次，点赞25次，收藏11次。 CV之DiffusionModels：《Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training》翻译与解读目录《Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in _why diffusion models don鈥檛 memorize: the role of implicit dynamical regular
NeurIPS 2025最佳论文：扩散模型为什么可以生成新颖样本？ 参考文献：Bonnaire T, Urfin R, Biroli G, et al Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training [J] NeurIPS 2025