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A Blender script to procedurally generate 3D spaceships

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YadiraF / PRNet

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Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

swap face alignment reconstruction 3d

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domlysz / BlenderGIS

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Open

Good first issue

domlysz commented Mar 11, 2020

Please respect the following template to report a new issue, otherwise your issue will be automatically closed.

Before submitting, search through existing open or closed issues reports and through blender.stackexchange.com to check whether the issue already exists.

If the issue concerns an operator that grab geodata from an external web service (Basemaps, OSM, SRTM), then it can be a network

cleardusk / 3DDFA

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The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

python computer-vision deep-learning pytorch 3d 3d-face face-alignment 3dmm

Updated Sep 28, 2020
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armory3d / armory

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3D Engine with Blender Integration

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cleardusk / 3DDFA_V2

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The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

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charlesq34 / frustum-pointnets

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Frustum PointNets for 3D Object Detection from RGB-D Data

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facebookresearch / votenet

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Deep Hough Voting for 3D Object Detection in Point Clouds

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ranahanocka / MeshCNN

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Convolutional Neural Network for 3D meshes in PyTorch

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Updated Mar 9, 2020
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nywang16 / Pixel2Mesh

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Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

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Updated Aug 21, 2020
Python

daavoo / pyntcloud

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Open

can not get las file header vlrs information

1

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

Document from_instance/to_instance

Open

Typos in docs

2

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elliottwu / unsup3d

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(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

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astorfi / 3D-convolutional-speaker-recognition

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🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

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pyvista / pyvista

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3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

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junyanz / VON

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[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

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andyzeng / visual-pushing-grasping

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Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

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ThibaultGROUEIX / AtlasNet

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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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Houdini pipeline and learning database

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andyzeng / tsdf-fusion-python

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Python code to fuse multiple RGB-D images into a TSDF voxel volume.

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K3D-tools / K3D-jupyter

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K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

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