hesized sequences. Thereby, the results
display music harmonics while preserving fine-grained semantic alignment with
text descriptions. Extensive experiments demonstrate that our method
outperforms the state-of-the-art models on our newly collected DanceRemix
dataset. Code is available at https://lzvsdy.github.io/DanceEditor/.</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduces DanceEditor, a framework for iteratively editing music-driven dance generation using us