mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-01 03:12:49 +08:00
Update README with links to blog posts (#43)
Summary: Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/43 Reviewed By: bottler Differential Revision: D42791756 Pulled By: nikhilaravi fbshipit-source-id: 498399c1ce30bb095579c4d66b6314a6aa846df3
This commit is contained in:
parent
0b11a5dc6d
commit
7e750a3786
@ -12,7 +12,7 @@ Key features include:
|
||||
- Data structure for storing and manipulating triangle meshes
|
||||
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
|
||||
- A differentiable mesh renderer
|
||||
- Implicitron, see [its README](projects/implicitron_trainer), a framework for new-view synthesis via implicit representations.
|
||||
- Implicitron, see [its README](projects/implicitron_trainer), a framework for new-view synthesis via implicit representations. ([blog post](https://ai.facebook.com/blog/implicitron-a-new-modular-extensible-framework-for-neural-implicit-representations-in-pytorch3d/))
|
||||
|
||||
PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
|
||||
For this reason, all operators in PyTorch3D:
|
||||
@ -24,6 +24,8 @@ For this reason, all operators in PyTorch3D:
|
||||
|
||||
Within FAIR, PyTorch3D has been used to power research projects such as [Mesh R-CNN](https://arxiv.org/abs/1906.02739).
|
||||
|
||||
See our [blog post](https://ai.facebook.com/blog/-introducing-pytorch3d-an-open-source-library-for-3d-deep-learning/) to see more demos and learn about PyTorch3D.
|
||||
|
||||
## Installation
|
||||
|
||||
For detailed instructions refer to [INSTALL.md](INSTALL.md).
|
||||
|
Loading…
x
Reference in New Issue
Block a user