gesticulating_agent_unity VS AlphaPose

Compare gesticulating_agent_unity vs AlphaPose and see what are their differences.

gesticulating_agent_unity

The official code for our paper "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents", published as a demonstration at AAMAS 2021. (by nagyrajmund)
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gesticulating_agent_unity AlphaPose
1 4
31 7,701
- 1.3%
3.9 0.0
almost 3 years ago 4 months ago
Python Python
GNU General Public License v3.0 only 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.
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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.

gesticulating_agent_unity

Posts with mentions or reviews of gesticulating_agent_unity. We have used some of these posts to build our list of alternatives and similar projects.

AlphaPose

Posts with mentions or reviews of AlphaPose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-29.

What are some alternatives?

When comparing gesticulating_agent_unity and AlphaPose you can also consider the following projects:

UnityPack - Python deserialization library for Unity3D Asset format

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

orchestra - Orchestra is a human-in-the-loop AI system for orchestrating project teams of experts and machines.

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

awesome-hand-pose-estimation - Awesome work on hand pose estimation/tracking

mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.

Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"