Stars
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
Jupyter notebook tutorials for MMSegmentation
[ECCV 2024] Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
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Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
(ICCV 2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"
[ICLR 2025] Point-SAM: Promptable 3D Segmentation Model for Point Clouds
The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
Point Cloud Mamba: Point Cloud Learning via State Space Model
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
Using Kolmogorov Arnold Networks (KANs) instead of MLPs in PointNet for Classification and Segmentation of 3D Point Sets
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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