Facebook is easing 3D deep learning woes, one solution at a time. Last year, it announced Mesh R-CNN, a system that could render 3D objects from 2D shapes, and this year it has unveiled PyTorch3D.
3D Deep Learning has been a relatively unexplored field. Two factors have defined its undergrown precincts:
- Shortage of right tools and resources blocking research in 3D learning
- 3D data inputs becoming more complex with growing computation and memory requirements. Conventional methods could not give apt solutions.
PyTorch3D fulfills the above two shortages. It is an optimized and highly modular library.
In the words of GitHub:
“PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch.”
3D Deep Learning with PyTorch3D is way easier and faster than conventional methods, and many AI innovators and researchers are rooting for it.