ispc-lab/NeuralPCI
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
This project helps you generate smooth, realistic intermediate frames of 3D objects or scenes from sparse sets of 3D scans, even when there's complex movement. By taking a few existing 3D point cloud frames, it intelligently fills in the gaps to produce new point clouds for any moment in between. This is perfect for researchers and engineers working with dynamic 3D data like moving people or autonomous vehicles.
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Use this if you need to create fluid animations or detailed motion analysis from limited 3D point cloud data, especially in scenarios with large and non-linear movements.
Not ideal if your primary need is static 3D model reconstruction or if you're working with simpler 3D mesh data rather than raw point clouds.
Stars
47
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 03, 2023
Commits (30d)
0
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