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Celebration

CVPR 2024 | 3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling

CVPR Arxiv Celebration

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Check out the project demo here: 3DSFLabelling-Page

The code is gradually being released, please be patient.

[poster coming soon] [video coming soon]

Description Simple Example of the Auto-Labelling
The proposed 3D scene flow pseudo-auto-labelling framework. Given point clouds and initial bounding boxes, both global and local motion parameters are iteratively optimized. Diverse motion patterns are augmented by randomly adjusting these motion parameters, thereby creating a diverse and realistic set of motion labels for the training of 3D scene flow estimation models. The proposed 3D scene flow pseudo-auto-labelling framework. Given point clouds and initial bounding boxes, both global and local motion parameters are iteratively optimized. Diverse motion patterns are augmented by randomly adjusting these motion parameters.

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This repository is the latest model version corresponding to the paper 3DSFLabeling: Boosting 3D Scene Flow Estimation by Pseudo Auto Labeling.

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