VIBE
videoavatars
| VIBE | videoavatars | |
|---|---|---|
| 5 | 1 | |
| 2,802 | 643 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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VIBE
- 3D reconstruction models for human body
-
Any ghetto Mo'Cap solutions?
there are projects like this and similar, that are able to create motion capture from video: https://github.com/KevinLTT/video2bvh or https://github.com/mkocabas/VIBE
- My experience using VIBE ( free motion extraction tool for animation )
- Free deep learning tool for extracting animation from videos (link in post)
-
Markerless Motion Capture - Turning Videos into 3D Animations
Another Edit: Here's another one that supports FBX export out of the box: https://github.com/mkocabas/VIBE
videoavatars
What are some alternatives?
video2bvh - Extracts human motion in video and save it as bvh mocap file.
SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
smplx - SMPL-X
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
tex2shape - This repository contains code corresponding to the paper "Tex2Shape: Detailed Full Human Body Geometry from a Single Image"
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
SPIN - Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Anatomy3D - Anatomy-aware 3D Human Pose Estimation in Videos
HierarchicalProbabilistic3DHuman - Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)