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

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

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

🔥GrowSP in PyTorch (CVPR 2023)

Set of models for segmentation of 3D volumes

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

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

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

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

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

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

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

Convert Pandaset to Kitti/SemanticKitti format

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

Simple scripts for PandaSet dataset

Python library with 3D Neural Networks based on PyTorch.

3D LiDAR Semantic Segmentation with range images and Retentive Networks