5 accepted papers
Video-to-music (V2M) generation aims to create music that aligns with visual content. However, two main challenges persist in existing methods: (1) the lack of explicit rhythm modeling hinders audiovisual temporal alignments; (2) effectively integrating various visual features to condition music gen
Text-to-MIDI generation offers editable and hierarchical control over symbolic music generation. Previous approaches either convert text into a limited set of musical attributes and generate music based on these attributes, which limits semantic controllability, or use end-to-end models that map tex
Loop closure detection is a critical component of simultaneous localization and mapping (SLAM) systems, essential for mitigating the drift that accumulates over time. Traditional approaches utilizing light detection and ranging (LiDAR) and cameras have been developed to address this challenge. Howev
Recent years have witnessed rapid advancements in text-to-music generation using large language models, yielding notable outputs. A critical challenge is understanding users with diverse musical expertise and generating music that meets their expectations, an area that remains underexplored.To addre…
The rapidly evolving multimodal Large Language Models (LLMs) urgently require new benchmarks to uniformly evaluate their performance on understanding and textually describing music. However, due to semantic gaps between Music Information Retrieval (MIR) algorithms and human understanding, discrepanc…