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implicitron readme updates

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Summary: add link in main readme

Reviewed By: kjchalup

Differential Revision: D38560053

fbshipit-source-id: 0814febb67d0580394cfa2664e49e31ff7254bd4
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Jeremy Reizenstein 2022-08-09 20:48:51 -07:00 committed by Facebook GitHub Bot
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README.md
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@ -12,6 +12,7 @@ Key features include:
- Data structure for storing and manipulating triangle meshes - Data structure for storing and manipulating triangle meshes
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions) - Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
- A differentiable mesh renderer - A differentiable mesh renderer
- Implicitron, see [its README](projects/implicitron_trainer), a framework for new-view synthesis via implicit representations.
PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
For this reason, all operators in PyTorch3D: For this reason, all operators in PyTorch3D:
@ -93,6 +94,7 @@ In alphabetical order:
* Amitav Baruah * Amitav Baruah
* Steve Branson * Steve Branson
* Krzysztof Chalupka
* Luya Gao * Luya Gao
* Georgia Gkioxari * Georgia Gkioxari
* Taylor Gordon * Taylor Gordon

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projects/implicitron_trainer/README.md
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@ -37,7 +37,7 @@ See [Running](#running) section below for examples of training and evaluation co
To plug in custom implementations, for example, of renderer or implicit-function protocols, you need to create your own runner script and import the plug-in implementations there. To plug in custom implementations, for example, of renderer or implicit-function protocols, you need to create your own runner script and import the plug-in implementations there.
First, install PyTorch3D and Implicitron dependencies as described in the previous section. First, install PyTorch3D and Implicitron dependencies as described in the previous section.
Then, implement the custom script; copying `pytorch3d/projects/implicitron_trainer/experiment.py` is a good place to start. Then, implement the custom script; copying `pytorch3d/projects/implicitron_trainer` is a good place to start.
See [Custom plugins](#custom-plugins) for more information on how to import implementations and enable them in the configs. See [Custom plugins](#custom-plugins) for more information on how to import implementations and enable them in the configs.