Official PyTorch implementation of SelfRDB, a diffusion bridge model for multi-modal medical image synthesis
PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)
[MICCAI2024] Official implementation of "CT-Based Brain Ventricle Segmentation via Diffusion Schrödinger Bridge without target domain ground truths"
[ICLR 2026] A Benchmark for Categorical-State Schrödinger Bridges and Entropic Optimal Transport
anyakrakusuma is a high-performance Python solver for the 2D Schrödinger Bridge Problem via Entropic Optimal Transport (EOT), utilizing the log-domain Sinkhorn-Knopp algorithm and Numba acceleration for robust stochastic process interpolation.
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