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2026
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| Online Access: | https://doi.org/10.5281/zenodo.19315387 |
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| _version_ | 1866901938054889472 |
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| author | Searle, Grace, Gracie |
| author_facet | Searle, Grace, Gracie |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19315387 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Balancing Novelty and Control in Generative Dance Models Searle, Grace, Gracie <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> |
| title | Balancing Novelty and Control in Generative Dance Models |
| url | https://doi.org/10.5281/zenodo.19315387 |