MotioNet VS VIBE

Compare MotioNet vs VIBE and see what are their differences.

MotioNet

A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020] (by Shimingyi)

VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" (by mkocabas)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
MotioNet VIBE
1 5
551 2,802
- -
0.0 0.0
about 2 years ago about 1 year ago
Python Python
BSD 2-clause "Simplified" License 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.
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.

MotioNet

Posts with mentions or reviews of MotioNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.
  • Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing
    4 projects | news.ycombinator.com | 25 Apr 2022
    They could be a great application for niches, though. Prototyping 3d games or movies can be helped greatly by such techniques.

    If you can take a photo (effort required: seconds) and turn it into a textures low- to mid-poly model within seconds, that's a huge time saver right there.

    Combined with other techniques [1], [2] this could indeed present a viable business model - again for certain niches. It's the same old routine: identify potential, present solution, profit (if only for a limited time). On its own this might not look too useful/impressive, but I'm certain there's people out there who could already benefit greatly from this work.

    It's not always about "the next big thing" or "turning an entire industry on its head". I could see this work its way into various products without much fanfare and gazillion dollar valuations.

    [1] https://github.com/Shimingyi/MotioNet

    [2] https://deepai.org/publication/end-to-end-learning-for-3d-fa...

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.

What are some alternatives?

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

Meshroom - 3D Reconstruction Software

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

MotionBERT - [ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

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

deep-motion-editing - An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

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

awesome-virtual-try-on - A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

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

duckduckgo-locales - Translation files for <a href="https://duckduckgo.com"> </a>

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.