most citedMUGen: Multi-modal Music Understanding and Generation with the Power of Large Language Models

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2024

MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models

Shansong Liu, Atin Sakkeer Hussain, Qilong Wu +2

Research on large language models has advanced significantly across text, speech, images, and videos. However, multi-modal music understanding and generation remain underexplored d…

eess.AS2024

Editing Music with Melody and Text: Using ControlNet for Diffusion Transformer

Siyuan Hou, Shansong Liu, Ruibin Yuan +4

Despite the significant progress in controllable music generation and editing, challenges remain in the quality and length of generated music due to the use of Mel-spectrogram repr…

cs.SD2023★ 5 cited

MUGen: Multi-modal Music Understanding and Generation with the Power of Large Language Models

Shansong Liu, Atin Sakkeer Hussain, Qilong Wu +2

The current landscape of research leveraging large language models (LLMs) is experiencing a surge. Many works harness the powerful reasoning capabilities of these models to compreh…

cs.SD2023

HumTrans: A Novel Open-Source Dataset for Humming Melody Transcription and Beyond

Shansong Liu, Xu Li, Dian Li +1

This paper introduces the HumTrans dataset, which is publicly available and primarily designed for humming melody transcription. The dataset can also serve as a foundation for down…

cs.MM2023★ 1 cited

Unified Pretraining Target Based Video-music Retrieval With Music Rhythm And Video Optical Flow Information

Tianjun Mao, Shansong Liu, Yunxuan Zhang +2

Background music (BGM) can enhance the video's emotion. However, selecting an appropriate BGM often requires domain knowledge. This has led to the development of video-music retrie…