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Rishit-dagli/3d-transforms: 3D Transforms v0.1.0

Authors: Rishit Dagli;

Rishit-dagli/3d-transforms: 3D Transforms v0.1.0

Abstract

The initial release of 3D Transforms with rotation conversions and operation for SO(3) group. TensorFlow3D Transforms is a library to easily make 3D transformations and work with 3D data. This library originally started as a few functions here and there for my own work which I then turned into a library. TensorFlow3D Transforms is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. For this reason, all operators in TensorFlow3D Transforms: Are implemented using TensorFlow tensors Can handle minibatches of hetereogenous data Can be differentiated Can utilize GPUs for acceleration 📄Documentation Visit the documentation of this project to get more information in detail. 📚Examples Visit the Quickstart for this project to see some examples and use this library easily.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average