diffusion models

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers

Source Term Estimation for Atmospheric Pollutant Releases from Sparse Sensor Networks: A Methodological Review and Comparative Assessment

Determining the location, release strength and temporal profile of an unknown atmospheric pollutant source from concentration measurements recorded by a small number of ground-based sensors is a core problem of environmental monitoring, industrial safety and emergency response. Because the number of independent observa...

Generative synthesis of high-fidelity pathological brain MRI via label-conditioned latent diffusion

The synthesis of high-fidelity brain Magnetic Resonance Imaging (MRI) is essential for addressing data scarcity and privacy constraints in medical research. In this study, we present a Latent Diffusion Model (LDM) for conditional MRI generation, operating in a compressed latent space to optimize computational efficienc...

TeDiServe

TeDiServe is a cluster-level serving system for diffusion language models that targets high latency-SLO attainment through deadline-aware scheduling, confidence-threshold-based load control, and cluster reconfiguration.

Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

Boltz2-Notebook: An Interactive Google Colab Platform for Diffusion-Based Biomolecular Structure and Binding Affinity Prediction using the Boltz2 model

Boltz2-Notebook is developed, a Colab-native interface comprising four integrated stages - automated environment setup, interactive parameter-to-YAML generation, execution management, and automated confidence and affinity visualization - together with a manifest-driven batch mode for multi-target screening that provide...

A Heterogeneity-Corrected Lower Bound on Entropy Production in Nonequilibrium Markov Networks

Version 2 of a preprint studying activity- and heterogeneity-sensitive lower bounds on entropy production in finite nonequilibrium Markov networks. The principal variance coefficient 1/(1 − χ̄²) is identified as a direct specialization of the published Liao–Berg sharpened-Jensen framework and is not claimed as a new ge...

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

Demystifying Image Recovery from Radio Interferometers: Toward a Multiscale Predictive Model

Abstract Radio interferometers suffer from the missing short-spacing problem, losing large-scale diffuse emission. This missing flux underestimates gas mass and biases key metrics like star formation efficiency. Quantifying this scale-dependent loss currently relies on computationally intensive mock observations, lacki...

Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation