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OpenGVLab avatar

OpenGVLab/PonderV2

0
View on GitHub↗
374 stars·8 forks·Python·MIT·1 viewarxiv.org/abs/2310.08586↗

PonderV2

[T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

Features

  • 3D Point Cloud Learning - Universal pre-training paradigm for 3D foundation models.
  • Pre-training Paradigms - Provides a universal pre-training paradigm for 3D models.

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Open-source alternatives to PonderV2

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  • facebookresearch/pointcontrastfacebookresearch avatar

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    Code for paper

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Frequently asked questions

What does opengvlab/ponderv2 do?

[T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

What are the main features of opengvlab/ponderv2?

The main features of opengvlab/ponderv2 are: 3D Point Cloud Learning, Pre-training Paradigms.

What are some open-source alternatives to opengvlab/ponderv2?

Open-source alternatives to opengvlab/ponderv2 include: nightmare-n/unipad — UniPAD: A Universal Pre-training Paradigm for Autonomous Driving (CVPR 2024). nvidiagameworks/kaolin — Kaolin is a PyTorch 3D deep learning library providing a comprehensive suite of tools for 3D geometry processing,… facebookresearch/pointcontrast — Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>.