Python 3d-deep-learning

Open-source Python projects categorized as 3d-deep-learning
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Topics: 3d-reconstruction 3D Deep Learning 3d-models Pytorch
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Top 4 Python 3d-deep-learning Projects

  • kaolin-wisp

    NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

  • pyntcloud

    pyntcloud is a Python library for working with 3D point clouds.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • tsdf-fusion-python

    Python code to fuse multiple RGB-D images into a TSDF voxel volume.

  • differentiable_volumetric_rendering

    This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python 3d-deep-learning related posts

  • TSDF integration with disparity maps?

    2 projects | /r/computervision | 25 Apr 2022

  • From Azure Kinect To Hololens2

    1 project | /r/HoloLens | 27 Feb 2021

Index

What are some of the best open-source 3d-deep-learning projects in Python? This list will help you:

Project Stars
1 kaolin-wisp 1,432
2 pyntcloud 1,373
3 tsdf-fusion-python 1,087
4 differentiable_volumetric_rendering 788

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