dvlab-research / SparseTransformer
A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).
☆163Updated last year
Alternatives and similar repositories for SparseTransformer:
Users that are interested in SparseTransformer are comparing it to the libraries listed below
- [CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer☆129Updated last year
- This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Trainin…☆68Updated last year
- GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)☆123Updated last year
- Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occu…☆267Updated last year
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆78Updated 2 years ago
- ☆157Updated 2 years ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆116Updated last year
- [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".☆95Updated last year
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆79Updated 11 months ago
- [CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness…☆191Updated 2 months ago
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆95Updated 7 months ago
- The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).☆329Updated last year
- Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)☆195Updated last year
- Voxel Transformer for 3D object detection☆249Updated 2 years ago
- [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios☆57Updated 2 months ago
- [CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"☆226Updated 9 months ago
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation☆172Updated last year
- [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection☆107Updated last year
- [NIPS'24] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆113Updated 5 months ago
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆55Updated last year
- CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'☆222Updated 11 months ago
- LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)☆202Updated last year
- DeepVision3D is an open source toolbox for point-cloud understanding.☆120Updated 2 years ago
- Open Source 3D Occupancy Prediction Library.☆142Updated last year
- Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"☆195Updated last week
- (NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation☆118Updated last year
- Unifying Voxel-based Representation with Transformer for 3D Object Detection (NeurIPS 2022)☆233Updated 2 years ago
- Codes for ICLR 2024: "MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection"☆70Updated 8 months ago
- Voxel Field Fusion for 3D Object Detection (CVPR2022)☆99Updated 2 years ago
- Efficient Point-based 3D Semantic Occupancy Prediction☆140Updated 8 months ago