pjyazdian/Gesture2Vec
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
This project helps researchers and animators automatically generate realistic co-speech gestures for virtual characters or digital avatars. You provide text, and it outputs a sequence of discrete, human-like gesture chunks that enhance the naturalness and diversity of character animation. It is ideal for those working in animation, virtual reality, or human-computer interaction.
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Use this if you need to create convincing and diverse hand gestures that naturally accompany spoken language for animated characters or virtual agents.
Not ideal if you are looking for a tool to analyze existing human gesture data without generating new gestures, or if you require non-speech-related body movements.
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26
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4
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2024
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