Reproduce “Music2Video: Automatic Generation of Music Video with fusion of audio and text” on OpenResearch

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About this paper

Yoonjeon Kim, Joel Jang, Sumin Shin

KAIST researchers developed MUSIC2VIDEO, a framework that automatically generates music videos by intelligently fusing audio and text (lyrics) inputs. The system produces visually coherent videos with dynamic scene transitions aligned with musical structure and maintains temporal consistency between frames.

Key insights

  • A segment-based, intelligent switching strategy for multi-modal guidance (text or audio) effectively prevents conflicts and leverages the strengths of each modality.
  • Analyzing musical features like onset strength and intensity provides a robust and automatic way to dynamically segment music and control video pacing.
  • Averaging CLIP prompt vectors from consecutive frames proved a simple yet effective method for achieving temporal consistency and object persistence in generated video.

Summary by alphaXiv.

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