Balancing Novelty and Control in Generative Dance Models

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1. Verfasser: Searle, Grace, Gracie
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Veröffentlicht: Zenodo 2026
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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
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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