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sebastianstarke/AI4Animation ★ 8846 1141 DATA_RESEARCH

This repository provides a comprehensive research codebase for AI-driven character animation, spanning multiple SIGGRAPH publications from 2017 to 2024. It includes deep learning model training scripts (TensorFlow for PFNN, MANN, NSM; PyTorch for GNN, PAE, Codebook Matching) and corresponding Unity integration for real-time inference and visualization. The codebase ingests motion capture data (BVH, FBX, TRC), processes it through a Unity-based data pipeline (MotionData, Frame, Modules), trains phase-functioned or mode-adaptive networks, and exports trained weights for runtime use. The repository is hybrid: primarily a research project with both data pipeline (motion capture processing, feature extraction) and application (Unity demos, IK, visualization tools) components. It is not a standalone library but a reference implementation for academic publications, making it valuable for researchers and developers working on character animation, deep learning for motion, and real-time animation systems.

RATING: 6.4/10 REPRO: 3.0/10 MAINT: maintained DRIFT: medium
#character-animation #deep-learning #motion-synthesis #unity #tensorflow #pytorch #phase-functioned-neural-network #graph-neural-network #IK #voxelizer
▸ 5 reusable components found
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