Newbeeer/Poisson_flow

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Poisson Flow Generative Models Pytorch implementation of the NeurIPS 2022 paper Poisson Flow Generative Models, by Yilun Xu*, Ziming Liu*, Max Tegmark, Tommi S. Jaakkola [Slide] Note: The method has been extended by the subsequent work PFGM++: Unlocking the Potential of Physics-Inspired Generative Models (code) with the following improvements: 😇 Improvements over PFGM / Diffusion Models: No longer require the large batch training target in PFGM, thus enable flexible conditional generation and more...