Diffusion Priors

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Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling
Apr 8, 2026Andrew Millard, Zheng Zhao, Henrik PedersenKinetics Diffusion Sampling
Division of Statistics and Machine Learning (STIMA), Linköping University, Sweden · STIMA, Linköping University, Sweden · Division of Chemistry, Linköping University, Sweden
Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
Feb 12, 2026Jean-François GiovannelliPosterior Sampling Inverse Problem
Groupe Signal-Image, IMS (Univ. Bordeaux, CNRS, BINP), Talence, France
GMODiff: One-Step Gain Map Refinement with Diffusion Priors for HDR Reconstruction
Dec 18, 2025Tao Hu, Weiyu Zhou, Yanjie Tu +4High Dynamic Range Diffusion Priors
Northwestern Polytechnical University, Xi’an 710072, China · Xi’an University of Architecture and Technology, Xi’an 710055, China · The Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen 518057, China
DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion Priors Bayesian Inverse Problems
University of Notre Dame, Notre Dame, IN 46556, USA
MedForj: An open, large-scale foundational generative prior for high-resolution 3D brain MRI
Oct 29, 2025Samuel W. Remedios, Aaron Carass, Jerry L. Prince +1Medical Image Generation Diffusion Priors
Image Analysis and Communications Laboratory, Johns Hopkins University · Department of Neurology, Johns Hopkins Hospital
Affordance-Guided Diffusion Prior for 3D Hand Reconstruction
Oct 1, 2025Naru Suzuki, Takehiko Ohkawa, Tatsuro Banno +33D Hand Diffusion Priors
The University of Tokyo · KAIST
StableMotion: One-Step Motion Estimation with Diffusion Prior
May 10, 2025Ziyi Wang, Haipeng Li, Lin Sui +5Rectification Motion Estimation
Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China · 4Paradigm Inc., Beijing 100080, China +2
Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems
Date pendingSean Gunn, Jorio Cocola, Oliver De Candido +2Bayesian Inverse Problems Diffusion Priors
Northeastern University · Harvard University · Technical University of Munich +1

Apr 8, 2026, physics.comp-phJ/K move · Enter open · S save

Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling

Andrew Millard, Zheng Zhao, Henrik Pedersen

Division of Statistics and Machine Learning (STIMA), Linköping University, Sweden · STIMA, Linköping University, Sweden · Division of Chemistry, Linköping University, Sweden

Kinetics Diffusion Sampling One-Dimensional Viscous Burgers Equation Partial Differential Equations Diffusion Priors

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Physics-guided sampling with diffusion priors has recently shown strong performance in solving complex systems of partial differential equations (PDEs) from sparse observations. However, these methods are typically evaluated on benchmark problems that do not fully demonstrate their ability to generate temporally consistent solutions of time-dependent PDEs, often focusing instead on reconstructing a single snapshot. In this work, we apply these methods to gas-phase reaction kinetics problems governed by the advection-reaction-diffusion (ARD) equation, providing a setting that more closely reflects realistic laboratory experiments. We demonstrate that guided sampling can be used to reconstruct full spatiotemporal trajectories, rather than isolated states. Furthermore, we show that these methods generalise to previously unseen parameter regimes, highlighting their potential for real-world applications.

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