implicitron readme updates

Summary: add link in main readme

Reviewed By: kjchalup

Differential Revision: D38560053

fbshipit-source-id: 0814febb67d0580394cfa2664e49e31ff7254bd4

README.md

@@ -12,6 +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.
 
 PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
 For this reason, all operators in PyTorch3D:
@@ -93,6 +94,7 @@ In alphabetical order:
 
 * Amitav Baruah
 * Steve Branson
+* Krzysztof Chalupka
 * Luya Gao
 * Georgia Gkioxari
 * Taylor Gordon

projects/implicitron_trainer/README.md

@@ -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.
 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.