Sirui-Xu/STARS
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
This project helps create realistic, diverse predictions of how people might move next, given their recent past movements. It takes a short video or sequence of human poses and outputs multiple plausible future motion paths, making it useful for animating characters or analyzing human behavior. It's designed for researchers and developers working in fields like animation, robotics, and human-computer interaction.
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Use this if you need to generate multiple realistic future movement possibilities for a human figure based on a short clip of their recent actions.
Not ideal if you need to predict the exact, singular future motion with high certainty, as this tool focuses on generating diverse outcomes.
Stars
75
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 19, 2023
Commits (30d)
0
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