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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19315387 |
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Table of Contents:
- <h1><strong>Balancing Novelty and Control in Generative Dance Models</strong></h1> <p><strong>Author</strong>: Grace Searle (22016371)</p> <p><strong>Module</strong>: UFCFXK-30-3 Digital Systems Project (UWE Bristol)</p> <h2>Overview</h2> <p>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.<br><br></p>