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3d-deep-learning
Here are 44 public repositories matching this topic...
darkclip
commented
Jan 21, 2020
In las file format, vlrs info is crucial to correctly describe point's spatial location.
However, if you try to use pyntcloud.las_header.vlrs, you wouldn't get anything, the value is alway none.
Through your source code, I can see you try to use
data["las_header"] = las.header
But it can not pass vlrs or evlrs info into new object, because in laspy, vlrs info is dynamically obtained afterw
semantic-segmentation
pointclouds
3d-segmentation
instance-segmentation
3d-deep-learning
3d-detection
3d-classification
3d-tracking
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Updated
Jun 8, 2021
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
computer-vision
deep-learning
point-cloud
artificial-intelligence
vision
geometry-processing
rgbd
3d
3d-deep-learning
3dmatch
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Updated
Apr 25, 2018 - C++
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
cuda
artificial-intelligence
vision
rgbd
3d
3d-reconstruction
depth-camera
volumetric-data
3d-deep-learning
tsdf
kinect-fusion
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Updated
Jan 18, 2021 - Python
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
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Updated
Jul 2, 2021 - Python
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
dvr
mesh-generation
3d-reconstruction
3d-deep-learning
differentiable-rendering
novel-view-synthesis
cvpr2020
cvpr-2020
implicit-representions
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Updated
Jul 16, 2020 - Python
Fuse multiple depth frames into a TSDF voxel volume.
cuda
artificial-intelligence
vision
rgbd
3d
3d-reconstruction
depth-camera
volumetric-data
3d-deep-learning
tsdf
kinect-fusion
-
Updated
May 7, 2019 - Cuda
[ECCV'20] Convolutional Occupancy Networks
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Updated
Jan 16, 2021 - Python
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
computer-vision
deep-learning
efficiency
point-cloud
pytorch
lidar
3d-deep-learning
architecture-search
semantickitti
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Updated
Aug 10, 2021 - Python
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
machine-learning
computer-vision
deep-learning
pytorch
uncertainty
object-detection
human-pose-estimation
kitti-dataset
pose-estimation
3d-vision
3d-deep-learning
3d-detection
3d-object-detection
iccv2019
pifpaf
covid-19
openpifpaf
icra2021
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Updated
Aug 11, 2021 - Python
KITTI data processing and 3D CNN for Vehicle Detection
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Updated
Apr 18, 2019 - Python
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
machine-learning
computer-vision
deep-learning
pytorch
object-detection
autonomous-driving
3d-deep-learning
3d-detection
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Updated
Nov 6, 2018 - Python
Pytorch code to construct a 3D point cloud model from single RGB image.
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Updated
Dec 10, 2018 - Python
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Updated
May 20, 2018
Research platform for 3D object detection in PyTorch.
real-time
detection
voxel
point-cloud
pytorch
perception
lidar
codebase
object-detection
autonomous-vehicles
3d-deep-learning
-
Updated
Apr 25, 2021 - Python
SA-Det3D: Self-attention based Context-Aware 3D Object Detection (ICCV-AvVision-2021)
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Updated
Mar 17, 2021 - Python
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
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Updated
Jun 16, 2020 - Python
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
deep-neural-networks
semantic-segmentation
3d-convolutional-network
3d-segmentation
3d-deep-learning
scannet
cvpr2019
texturenet
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Updated
Jul 12, 2019 - C++
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
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Updated
Dec 4, 2020 - Python
This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
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Updated
Dec 11, 2020 - Python
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
deep-learning
mesh-generation
3d-graphics
mesh-processing
deformation
mesh-deformation
3d-deep-learning
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Updated
Jun 10, 2021 - Python
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
neural-network
point-cloud
mesh
mesh-generation
3d
3d-reconstruction
pointclouds
mesh-processing
3d-deep-learning
geodesic-distances
remeshing
eccv2020
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Updated
Oct 28, 2020 - C++
Paper list of deep learning on point clouds.
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Updated
Feb 19, 2020
Code base of ParSeNet: ECCV 2020.
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Updated
Sep 25, 2020 - Python
CSGNet for voxel based input
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Updated
Jul 18, 2018 - Python
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'
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Updated
Mar 18, 2021 - Python
3D Shape Generation Baselines in PyTorch.
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Updated
Mar 6, 2020 - Python
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
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Updated
Jul 6, 2021 - Python
TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation
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Updated
Oct 30, 2020 - Python
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Adding a new transform function in kaolin.Transform : translatePointCloud.
In dgcnn, author have used it as a preprocessing function: https://github.com/WangYueFt/dgcnn/blob/20fdb459ca5d10fe8aba1d296e66340f65990b85/pytorch/data.py#L50