TVMC: Time-Varying Mesh Compression

Summary

TVMC: Time-Varying Mesh Compression Using Volume-Tracked Reference Meshes Guodong Chen, Filip Hácha, Libor Váša, Mallesham Dasari This repository contains the official authors implementation associated with the paper "TVMC: Time-Varying Mesh Compression Using Volume-Tracked Reference Meshes", which can be found here, accepted by 2025 ACM MMSys. BibTex @inproceedings{Chen2025TVMC, author = {Chen, Guodong and H{\'a}cha, Filip and V{\'a}{\v{s}}a, Libor and Dasari, Mallesham}, title = {TVMC: Time-Varying Mesh Compression Using Volume-Tracked Reference Meshes}, booktitle = {ACM Multimedia Systems Conference 2025 (MMSys '25)}, year = {2025}, address = {Stellenbosch, South Africa}, doi = {10.1145/3712676.3714440} } System Requirements Operating System: Windows 11 or Ubuntu 20.04 Windows 11 or Ubuntu 20.04 Python: 3.8 3.8 Dependencies: numpy open3d==0.18.0 scikit-learn scipy trimesh==4.1.0 Clone this project: git clone https://github.com/SINRG-Lab/TVMC.git Running with Docker Follow these steps to build and run the Docker image: Step 1: Build the Docker Image To begin, build the Docker image from the provided Dockerfile: docker build -t tvmc-linux . Step 2: Run the Docker Image After building the image, run the Docker container with the following command: docker run --rm -it tvmc-linux Step 3: Run the Pipeline Script Once inside the Docker container, grant execute permissions to the run_pipeline.sh script and execute it: conda activate open3d_env chmod +x run_pipeline.sh sudo ./run_pipeline.sh The pipeline will start, and the required tasks will be executed sequentially. Running TVMC on Your Own Machine If you want to run TVMC on your own machine using your own dataset, here’s how you can set it up. We've tested this on Windows 11 and Ubuntu 20.04. (Provide the detailed steps here for running the pipeline outside of Docker) Step 0: Install .Net 7.0 For Linux: wget https://packages.microsoft.com/config/ubuntu/20.04/packages-microsoft-prod.deb -O packages-microsoft-prod.deb s...