Update README.md #303
Open
Update README.md #303
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Signed-off-by: Kosuke Takeuchi <[email protected]> Signed-off-by: Shivam Tawari <[email protected]>
Jean-Francois-Lafleche
approved these changes
Aug 18, 2020
wow6600
reviewed
Sep 3, 2020
| @@ -10,7 +10,7 @@ | |||
|
|
|||
| **[Documentation](https://kaolin.readthedocs.io/en/latest/)** | **[Paper](https://arxiv.org/abs/1911.05063)** | |||
|
|
|||
| __Kaolin is an active work-in-progress, we are working toward a stable beta release. Please Watch our github repository for releases to be notified. To start trying our code today see instructions below.__ | |||
| __Kaolin is an active work-in-progress, we are working toward a stable beta release. Please Watch our GitHub repository for releases to be notified. To start trying our code today see instructions below.__ | |||
|
|
|||
| Kaolin is a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning systems. With functionality to load and preprocess several popular 3D datasets, and native functions to manipulate meshes, pointclouds, signed distance functions, and voxel grids, Kaolin mitigates the need to write wasteful boilerplate code. Kaolin packages together several differentiable graphics modules including rendering, lighting, shading, and view warping. Kaolin also supports an array of loss functions and evaluation metrics for seamless evaluation and provides visualization functionality to render the 3D results. Importantly, we curate a comprehensive model zoo comprising many state-of-the-art 3D deep learning architectures, to serve as a starting point for future research endeavours. | |||
|
gh pr checkout 303 |
kyrie25
approved these changes
Feb 5, 2022
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Grammatical mistakes corrected.