Codebase for:
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Spotlight, NeurIPS 2025
Paper link: https://openreview.net/forum?id=kz3w2A2y0e
This repository contains the official implementation of Discrete Spatial Diffusion (DSD), a diffusion modeling framework designed to preserve intensity in the forward and reverse processes.
The development of the manuscript and codebase was supported by FY24 Laboratory Directed Research and Development program project Diffusion Modeling with Physical Constraints for Scientific Data (20240074ER).
- Javier E. Santos
- Nick Lubbers
- Yen Ting Lin
Affiliation:
Information Sciences Group (CCS-3) &
Earth and Environmental Science Division (EES),
Los Alamos National Laboratory
The code developed in this project has been approved by the Feynman Innovation Center (O#=O4916)
© 2025. Triad National Security, LLC. All rights reserved.
This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration.
All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration.
The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare. derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.
