semantickitti

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

My awesome point cloud labeling tool

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥

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

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

[CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception

This repo is the official code for the paper SFPNet (ECCV 2024) and dataset S.MID.

LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020

[ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene

[ICRA 2024] SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net

Out-of-Distribution Semantic Occupancy Prediction

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