From 7e750a3786b7206b923ebe52ae4dd273beb68ef6 Mon Sep 17 00:00:00 2001 From: Nikhila Ravi Date: Fri, 27 Jan 2023 01:57:54 -0800 Subject: [PATCH] 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 --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 07e343c5..a485b8ed 100644 --- a/README.md +++ b/README.md @@ -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).