VIBE VS vibe_win_install

Compare VIBE vs vibe_win_install and see what are their differences.

VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" (by mkocabas)
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VIBE vibe_win_install
5 1
2,802 48
- -
0.0 0.0
about 1 year ago about 3 years ago
Python Python
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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VIBE

Posts with mentions or reviews of VIBE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-01.

vibe_win_install

Posts with mentions or reviews of vibe_win_install. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-04.
  • My experience using VIBE ( free motion extraction tool for animation )
    5 projects | /r/gamedev | 4 May 2021
    So I spent the past few days trying to install this piece of software. There are some pretty detailed instructions that helped a great deal ( https://github.com/carlosedubarreto/vibe_win_install ), but there were some key steps that the author glossed over and had me wasting a great deal of time figuring out.

What are some alternatives?

When comparing VIBE and vibe_win_install you can also consider the following projects:

video2bvh - Extracts human motion in video and save it as bvh mocap file.

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

b3d_mocap_import - addon for blender to import mocap data from tools like easymocap, frankmocap and Vibe

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

smplx - SMPL-X

SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.

kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

manydepth - [CVPR 2021] Self-supervised depth estimation from short sequences