differentiable_volumetric_rendering
tsdf-fusion-python
Our great sponsors
| differentiable_volumetric_rendering | tsdf-fusion-python | |
|---|---|---|
| 1 | 2 | |
| 775 | 1,087 | |
| 0.0% | - | |
| 1.8 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
differentiable_volumetric_rendering
tsdf-fusion-python
-
TSDF integration with disparity maps?
i found this https://github.com/andyzeng/tsdf-fusion-python but it uses depth maps in mm which is not what i need
-
From Azure Kinect To Hololens2
First, I would suggest looking into https://github.com/andyzeng/tsdf-fusion-python and it’s parent project https://github.com/andyzeng/3dmatch-toolbox as they are pretty good KinectFusion implementations that are under active development and support the Azure Kinect v4.
What are some alternatives?
nvdiffrec - Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
tinysfm - Structure From Motion in 50 lines using OpenCV
curated-list-of-awesome-3D-Morphable-Model-software-and-data - The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
Meshroom - 3D Reconstruction Software
VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
consistent_depth - We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
quanfima - Quanfima (Quantitative Analysis of Fibrous Materials)
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
PaddleHub - Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
aistplusplus_api - API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset