An awesome list of tools available in 3d computer graphics for the research in computer graphics/vision and machine learning

1. gaps
2. libgl, the best there can be.

1. open3d
2. Pymesh
3. Trimesh
4. MeshLabXML
5. Kaolin (Deep Learning Model Zoo, utilities etc)
6. Pyrender
7. Polyscope
8. Pytorch Blender Integration
9. ParaView
10. MeshPlot, cool visualization in jupyter notebook
11. WildMeshing, a simple and robust 2d and 3d meshing package
12. igl, igl python bindings
13. Polyfem, finite element library
14. Directional visualizing and understanding directional fields on meshes.
15. point cloud utils, chamfer, hausdorff distance, poisson disk sampling etc.
16. pymanopt Optimization on Manifold using python.
17. ivy-dl 3D vision library with deep learning support.
18. sdf python library for creating meshes using sdf of interesting primitives

1. Poisson Surface Reconstuction (Python)
2. Poisson Surface Reconsutrction (c++)
3. Contours, Ridges and Valleys (c++)
4. Mesh Processing Library (c++)
5. Watertight and Simplified Meshes through TSDF Fusion (c++)
6. ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups (c++)
7. GPU-based signed distance field generator from 3D triangle meshes (c++)
8. Mesh to SDF (Python)

9. mesh-voxelization
10. spharapy Harmonic Analyis of Meshes, includes laplace beltrami operators

1. Mitsuba (c++)
2. MeshLab (c++)
3. lucid (Python)

1. SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
2. DIODE: A Dense Indoor and Outdoor DEpth Dataset
3. ScanNet ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations.
4. ABC Dataset A Big CAD Model Dataset For Geometric Deep Learning
5. ShapeNet A richly-annotated large-scale dataset of 3D shapes
6. ScanObjectNN A New Benchmark Dataset and Classification Model on Real-World Data

1. Shape Analysis