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A tutorial on inverse rendering, where mesh and cameras are simultaneously fit from a set of multi-view images
NOTE: I have already finished the tutorial and I would like to contribute to Pytorch3D, please see attached gif as a quick demo
Motivation
The current tutorials only contain solving camera from given mesh, and solving mesh from given cameras. The current 'Bundle Adjustment' tutorial has fairly limited scope. Only camera coordinates, no scene geometry is involved. I would like to contribute a tutorial that solves the mesh and cameras simultaneously, which is a true Bundle Adjustment
Pitch
This tutorial will help new users better understand Pytorch3D features.
It will also help users understand the power, simplicity, and limitation of using a naive approach for 3D reconstruction
The text was updated successfully, but these errors were encountered:
🚀 Feature
A tutorial on inverse rendering, where mesh and cameras are simultaneously fit from a set of multi-view images
NOTE: I have already finished the tutorial and I would like to contribute to Pytorch3D, please see attached gif as a quick demo
Motivation
The current tutorials only contain solving camera from given mesh, and solving mesh from given cameras. The current 'Bundle Adjustment' tutorial has fairly limited scope. Only camera coordinates, no scene geometry is involved. I would like to contribute a tutorial that solves the mesh and cameras simultaneously, which is a true Bundle Adjustment
Pitch
This tutorial will help new users better understand Pytorch3D features.
It will also help users understand the power, simplicity, and limitation of using a naive approach for 3D reconstruction
The text was updated successfully, but these errors were encountered: