Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms

Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

🔥GrowSP in PyTorch (CVPR 2023)

🏙 Final project developed for the UPC-AIDL postgraduate course.

Convert Pandaset to Kitti/SemanticKitti format

[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation

Simple scripts for PandaSet dataset

[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"

[ICCV23] SATR: Zero-Shot Semantic Segmentation of 3D Shapes

3D LiDAR Semantic Segmentation with range images and Retentive Networks

[WACV'25] Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

Set of models for segmentation of 3D volumes

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

Python library with 3D Neural Networks based on PyTorch.

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation