Showing 1-4 of 4 projects
Efficient 3D U-Net model for volumetric semantic segmentation of medical images, built with PyTorch.
A C++ library for 3D point cloud processing and visualization, with applications in self-driving cars and robotics.
A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.
A Python library for 3D segmentation using NeRFs, presented at NeurIPS 2023 and IJCV 2025.
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