Balancing Novelty and Control in Generative Dance Models
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Balancing Novelty and Control in Generative Dance Models Author: Grace Searle (22016371) Module: UFCFXK-30-3 Digital Systems Project (UWE Bristol) Overview This repository contains the video results for my research into computational creativity within 3D dance generation. The project addresses the 'novelty gap' in current generative models by comparing a deterministic, heuristics-based approach to a probabilistic, data-driven architecture.
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Zenodo创建时间：
2026-04-02
