Lists (3)
Starred repositories
official implementation of Kernel Stein Discrepancy on Lie Groups: Theory and Applications
Kernel Stein discrepancy on Riemannian manifolds
We propose a superpixel-based fast FCM (SFFCM) for color image segmentation. The proposed algorithm is able to achieve color image segmentation with a very low computational cost, yet achieve a hig…
CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling
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Updated Apr 22, 2026
[CAD2026] Sinkhorn-CPD: Robust Point Cloud Registration via Unbalanced Entropic Optimal Transport
A dataset of 3D CAD models with machining feature labels.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Superquadric fitting, Deformable, Rigid, Unsupervised clustering analysis
Official implementation of "PADReg: Physics-Aware Deformable Registration Guided by Contact Force for Ultrasound Sequences"
"Deep Generative Modeling": Introductory Examples
PyTorch Implementation of the Spectral Stein Gradient Estimator
Code for paper "GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation"
Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing Systems, December 2015.
Lightweight Pythonic wrapper around pythonocc
An Efficient 3D Topology Optimization Program Written in MATLAB
The code of paper "Structure–Aware Surface Reconstruction via Primitive Assembly" (ICCV2023)
A curated list of awesome variational inference
The code of paper "DeFillet: Detection and Removal of Fillet Regions in Polygonal CAD Models" , ACM Transactions on Graphics (SIGGRAPH 2025)
A Python package for geometric transformations of images for data augmentation in deep learning
A curated list of awesome ultrasound standard/diagnostic plane detection/localization/localisation/extraction/classification/selection/identification/recognition.
A single-GPU trainable unconditional mesh generative model
Code for my paper "Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression"