PointCloudLibrary/pcl Star10.4k Point Cloud Library (PCL) c-plus-pluscomputer-visioncpppoint-cloudpclpointcloud UpdatedMay 18, 2025 C++ timzhang642/3D-Machine-Learning Star10k A resource repository for 3D machin
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning point-cloudpytorchshapenetkittipointnetpointnet2frustum-pointnetfrustum-pointnetss3dispvcnnpoint-voxel-cnn UpdatedApr 12, 2022 Python isl-org/Open3D-PointNet2-Semantic3D
3333,Poster,VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection,https://github.com/tsinghua-rll/VoxelNet-tensorflow,"Yin Zhou, Lawrence Berkeley National Lab; Oncel Tuzel,", 136,Spotlight,LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation,https...
Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry" - Weafre/VoxelDNN
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86). android wi...
3d-face3d-animationheat-diffusion3d-scan3d-computer-visiontalking-headaudio-driven-talking-face UpdatedMar 26, 2025 Python [CVPR 2023] Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds point-cloudpytorch3d-animationdigital-twinarticulated-objectscvpr2023 ...
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation [seg; Github] Voxel Field Fusion for 3D Object Detection [det; PyTorch] On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models [autonomous driving; CVPRW] 3PSDF: Three-Pole Signed Distance Fun...
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection. faster-rcnnface-detectionobject-detectionhuman-pose-estimationhuman-activity-recognitionmulti-object-trackinginstance-segmentationmask-rcnnyo...
You can check the output pointcloud/mesh by using CloudCompare. In the case of a saved Gaussian splatting model, you can visualize it by: Using the superslat editor (drag and drop the saved Gaussian splatting .ply pointcloud in the editor interface). Getting into the folder test/gaussian_...
tensorflowpoint-cloudlidarvehicle-detectionkitti-dataset3d-cnn3d-deep-learning UpdatedApr 18, 2019 Python fregu856/3DOD_thesis Star283 Code Issues Pull requests 3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset. ...