lileitech

lileitech's Stars

• MuiseDestiny/zotero-style

  Ethereal Style for Zotero

  Language:JavaScript3.5k101k109

• TencentARC/InstantMesh

  InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

  Language:Python3k39138314

• erikwijmans/Pointnet2_PyTorch

  PyTorch implementation of Pointnet2/Pointnet++

  Language:Python1.5k17148337

• yuxumin/PoinTr

  [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

  Language:Python58313151109

• ZrrSkywalker/Point-NN

  [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

  Language:Python476173850

• tomrunia/OpticalFlow_Visualization

  Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

  Language:Python4179652

• noahcao/Pixel2Mesh

  A complete Pixel2Mesh implementation in PyTorch

  Language:Python22654639

• leonid-pishchulin/humanshape

  3D Human Shape Models

  Language:C++16418461

• Tong-ZHAO/Pixel2Mesh-Pytorch

  Final project for RecVis 18

  Language:Python12731935

• fkong7/MeshDeformNet

  A deep-learning approach for direct whole-heart mesh reconstruction

  Language:Python8111514

• eliphatfs/SkeletonMerger

  Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

  Language:Python6431115

• LLNL/cardioid

  Cardiac simulation toolkit.

  Language:C++5791017

• cq615/Joint-Motion-Estimation-and-Segmentation

  [MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

  Language:Python511113

• LivingMatterLab/xPINNs

  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346

  Language:Jupyter Notebook504117

• Eydcao/BSMS-GNN

  Language:Python47167

• LivingMatterLab/CANN

  When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 and the relevant other papers from this repo

  Language:Jupyter Notebook374116

• Sangminhong/ACL-SPC_PyTorch

  Official implementation of the paper "ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion" (CVPR 2023)

  Language:Python332135

• julien-zheng/CardiacMotionFlow

  Code for the analysis of cardiac motion and cardiac pathology classification

  Language:Python22327

• wangyuan123ac/3DFA-GCN

  Language:Python22354

• JsBlueCat/MeshGraph

  mesh graph conv for mesh process

  Language:Python21243

• laumerf/4DHeartModel

  Framework to enable the inference of a high resolution personalized 4D (3D plus time) surface mesh of the cardiac structures from 2D echocardiography video data.

  Language:Jupyter Notebook207

• yuan-xiaohan/4D-Myocardium-Reconstruction-with-Decoupled-Motion-and-Shape-Model

  This repository contains the code for the ICCV'2023 paper "4D Myocardium Reconstruction with Decoupled Motion and Shape Model".

  Language:Python164

• termi-official/Thunderbolt.jl

  A modular shared-memory high-performance framework for multiscale cardiac multiphysics simulations.

  Language:Julia143751

• cq615/BIGM-motion-tracking

  [MedIA'22] Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior

  Language:Python10211

• StanfordCBCL/BLNM.jl

  Branched Latent Neural Maps

  Language:Julia6500

• juliacamps/Cardiac-Digital-Twin-Purkinje

  Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12-Lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials

  Language:Jupyter Notebook40

• obiyoag/track_contents

  Language:Markdown4109

• bergolho1337/Electrophysiology

  Programs related to the Computational Electrophysiology topic

  Language:C2300

• ImperialCollegeLondon/CCITK

  Language:Python2

• TiNezlobinsky/Finitewave

  Simple package for a wide range of tasks in modeling cardiac electrophysiology using finite-difference methods.

  Language:Python2