niessner / Bundlefusion
Licence: other
[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration
Stars: ✭ 979
Projects that are alternatives of or similar to Bundlefusion
Synthesize3dviadepthorsil
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
Stars: ✭ 141 (-85.6%)
Mutual labels: 3d-reconstruction, reconstruction
J3DReconstruction
Windows下基于openMVG+openMVS的三维重建解决方案以及基于Qt的可视化桌面平台
Stars: ✭ 59 (-93.97%)
Mutual labels: reconstruction, 3d-reconstruction
Surfelwarp
SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction
Stars: ✭ 149 (-84.78%)
Mutual labels: 3d-reconstruction, kinect
3D-Reconstruction-With-RGBD
a 3D-Reconstruction demo done with Kinect
Stars: ✭ 16 (-98.37%)
Mutual labels: kinect, 3d-reconstruction
Kimera Semantics
Real-Time 3D Semantic Reconstruction from 2D data
Stars: ✭ 368 (-62.41%)
Mutual labels: 3d-reconstruction, reconstruction
Volumetriccapture
A multi-sensor capture system for free viewpoint video.
Stars: ✭ 243 (-75.18%)
Mutual labels: kinect, reconstruction
MonoRUn
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Stars: ✭ 85 (-91.32%)
Mutual labels: reconstruction, cvpr
Awesome Visual Slam
📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Stars: ✭ 1,336 (+36.47%)
Mutual labels: reconstruction, computervision
Monoport
Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020)
Stars: ✭ 296 (-69.77%)
Mutual labels: 3d-reconstruction, reconstruction
StrayVisualizer
Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
Stars: ✭ 30 (-96.94%)
Mutual labels: reconstruction, 3d-reconstruction
adareg-monodispnet
Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
Stars: ✭ 22 (-97.75%)
Mutual labels: cvpr, 3d-reconstruction
Vrn
👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Stars: ✭ 4,391 (+348.52%)
Mutual labels: reconstruction, computervision
Voxelhashing
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
Stars: ✭ 447 (-54.34%)
Mutual labels: 3d-reconstruction, kinect
Livescan3d
LiveScan3D is a system designed for real time 3D reconstruction using multiple Azure Kinect or Kinect v2 depth sensors simultaneously at real time speed.
Stars: ✭ 512 (-47.7%)
Mutual labels: 3d-reconstruction, kinect
3d Machine Learning
A resource repository for 3D machine learning
Stars: ✭ 7,405 (+656.38%)
Mutual labels: 3d-reconstruction
Hadoop Pot
A scalable Apache Hadoop-based implementation of the Pooled Time Series video similarity algorithm based on M. Ryoo et al paper CVPR 2015.
Stars: ✭ 8 (-99.18%)
Mutual labels: cvpr
Flownet2
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stars: ✭ 938 (-4.19%)
Mutual labels: cvpr
BundleFusion
You are free to use this code with proper attribution in non-commercial applications (Please see License.txt).
More information about this project can be found in our paper and project website.
Installation
The code was developed under VS2013, and tested with a Structure Sensor.
Requirements:
- DirectX SDK June 2010
- NVIDIA CUDA 7.0
- our research library mLib, a git submodule in external/mLib
- mLib external libraries can be downloaded here
Optional:
- Kinect SDK (2.0 and above)
- Prime sense SDK
Citation:
@article{dai2017bundlefusion,
title={BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration},
author={Dai, Angela and Nie{\ss}ner, Matthias and Zoll{\"o}fer, Michael and Izadi, Shahram and Theobalt, Christian},
journal={ACM Transactions on Graphics 2017 (TOG)},
year={2017}
}
Contact:
If you have any questions, please email Angela Dai at [email protected].
We are also looking for active participation in this open source effort making large-scale 3D scanning publically accessible. Please contact us :)
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].