the official implementation of the paper "Isometric Multi-Shape Matching" (CVPR 2021)

Related tags

Deep LearningIsoMuSh
Overview

Isometric Multi-Shape Matching (IsoMuSh)

Paper-CVF | Paper-arXiv | Video | Code

teaser image

Citation

If you find our work useful in your research, please consider citing:

@inproceedings{gao2021multi,
 title = {Isometric Multi-Shape Matching},
 author = {M. Gao and Z. Lähner and J. Thunberg and D. Cremers and F. Bernard},
 year = {2021},
 booktitle = {{IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}},
 keywords = {Shape Analysis, Geometry Processing, Shape Correspondence, Multi Shape Matching},
}

Note: The initial public release in this repository corresponds to the code version evluated in the CVPR'21 paper, after refactoring and cleanup. As the code evolves, runtime differences might become larger.

Running IsoMuSh

Since we use git-lfs to manage large binary *.mat files, you can run following commands to fetch the code and data:

git clone <isomush-repo>
git lfs install
git lfs pull

Then please refer to demo1.m for an example of TOSCA centaur and demo2.m for an example of FAUST person.

Note: The code was developed under MacOS and Ubuntu.

Acknowledgement

We thank the authors of ZoomOut (Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, and Maks Ovsjanikov.), which we used as initialisation for IsoMuSh. Their code is provided as a copy in this repository for covenience. Some of their functions are adapted for our purposes, such as visualisation functions (code/external/zoomout).

We thank the authours of Numerical geometry of nonrigid shapes (Alexander & Michael Bronstein) for providing the fast_marching library (code/external/fmm_triangulated).

We thank Emanuele Rodola for providing the library to compute the shot feature (/code/external/shot).

We also thank L. Cosmo, E. Rodola, A. Albarelli, F. Memoli, D. Cremers for open source their published function fps_euclidean.m, and anonymous authors of functions (code/external/io and code/external/hks).

License

The code of the IsoMush project is licensed under a GNU Affero General Public License.

Please also consider licenses of used third-party codes and libraries. See folder code/external.

Owner
Maolin Gao
Maolin Gao
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

SLAPS-GNN This repo contains the implementation of the model proposed in SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

60 Dec 22, 2022
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining

LMSOC: An Approach for Socially Sensitive Pretraining Code for reproducing the paper LMSOC: An Approach for Socially Sensitive Pretraining to appear a

Twitter Research 11 Dec 20, 2022
The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.

This repository is the official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness. Requirements pip install -r requi

Jie Ren 17 Dec 12, 2022
Tello Drone Trajectory Tracking

With this library you can track the trajectory of your tello drone or swarm of drones in real time.

Kamran Asgarov 2 Oct 12, 2022
MoCap-Solver: A Neural Solver for Optical Motion Capture Data

MoCap-Solver is a data-driven-based robust marker denoising method, which takes raw mocap markers as input and outputs corresponding clean markers and skeleton motions.

55 Dec 28, 2022
An end-to-end machine learning library to directly optimize AUC loss

LibAUC An end-to-end machine learning library for AUC optimization. Why LibAUC? Deep AUC Maximization (DAM) is a paradigm for learning a deep neural n

Andrew 75 Dec 12, 2022
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,

LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and eval

Ahmet Erdem 691 Dec 23, 2022
Deep Learning Interviews book: Hundreds of fully solved job interview questions from a wide range of key topics in AI.

This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the

4.1k Dec 28, 2022
The code for our paper submitted to RAL/IROS 2022: OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition.

OverlapTransformer The code for our paper submitted to RAL/IROS 2022: OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for

HAOMO.AI 136 Jan 03, 2023
Source code of our BMVC 2021 paper: AniFormer: Data-driven 3D Animation with Transformer

AniFormer This is the PyTorch implementation of our BMVC 2021 paper AniFormer: Data-driven 3D Animation with Transformer. Haoyu Chen, Hao Tang, Nicu S

24 Nov 02, 2022
Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)

Automated Learning Rate Scheduler for Large-Batch Training The official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th

Kakao Brain 35 Jan 04, 2023
[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

RCIL [CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang1, Jia-Wen Xiao1, Xialei Liu1, Ying-Cong Chen2

Chang-Bin Zhang 71 Dec 28, 2022
AI创造营 :Metaverse启动机之重构现世,结合PaddlePaddle 和 Wechaty 创造自己的聊天机器人

paddle-wechaty-Zodiac AI创造营 :Metaverse启动机之重构现世,结合PaddlePaddle 和 Wechaty 创造自己的聊天机器人 12星座若穿越科幻剧,会拥有什么超能力呢?快来迎接你的专属超能力吧! 现在很多年轻人都喜欢看科幻剧,像是复仇者系列,里面有很多英雄、超

105 Dec 22, 2022
Codebase for the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL BASALT Challenge.

KAIROS MineRL BASALT Codebase for the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL B

Vinicius G. Goecks 37 Oct 30, 2022
113 Nov 28, 2022
LaneDetectionAndLaneKeeping - Lane Detection And Lane Keeping

LaneDetectionAndLaneKeeping This project is part of my bachelor's thesis. The go

5 Jun 27, 2022
Source code for The Power of Many: A Physarum Swarm Steiner Tree Algorithm

Physarum-Swarm-Steiner-Algo Source code for The Power of Many: A Physarum Steiner Tree Algorithm Code implements ideas from the following papers: Sher

Sheryl Hsu 2 Mar 28, 2022
code for "Self-supervised edge features for improved Graph Neural Network training",

Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.

Neal Ravindra 23 Dec 02, 2022
Object Database for Super Mario Galaxy 1/2.

Super Mario Galaxy Object Database Welcome to the public object database for Super Mario Galaxy and Super Mario Galaxy 2. Here, we document all object

Aurum 9 Dec 04, 2022
Neural Re-rendering for Full-frame Video Stabilization

NeRViS: Neural Re-rendering for Full-frame Video Stabilization Project Page | Video | Paper | Google Colab Setup Setup environment for [Yu and Ramamoo

Yu-Lun Liu 9 Jun 17, 2022