Efficient Fine-Grained Guidance for Diffusion-Based Symbolic Music Generation
Published in International Conference on Machine Learning (ICML), 2025
This paper presents an efficient method for fine-grained guidance in diffusion-based symbolic music generation. As co-first authors, we developed novel techniques for controllable music generation that enables users to guide the generation process at a fine-grained level.
Authors: Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng (*co-first author)