activity
20222026
most citedFoundation Models for Music: A Survey

8 citations · 28 across the 5 of their papers we have counts for

collaborators

6 papers

eess.AS2026

YuE2: Unifying Symbolic and Audio Music Generation at Frontier Quality

Ruibin Yuan, Jiahao Pan, Junyan Jiang +32

Symbolic models make melody, harmony, rhythm, and form explicit but typically stop before a finished recording; audio models produce complete songs while leaving composition implic…

cs.SD2024★ 8 cited

Foundation Models for Music: A Survey

Yinghao Ma, Anders Øland, Anton Ragni +39

In recent years, foundation models (FMs) such as large language models (LLMs) and latent diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This com…

cs.SD2024★ 6 cited

ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Qixin Deng, Qikai Yang, Ruibin Yuan +16

Music composition represents the creative side of humanity, and itself is a complex task that requires abilities to understand and generate information with long dependency and har…

cs.SD2024★ 4 cited

ChatMusician: Understanding and Generating Music Intrinsically with LLM

Ruibin Yuan, Hanfeng Lin, Yi Wang +32

While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized to music, humanity's creative langua…

cs.SD2023★ 6 cited

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Ruibin Yuan, Yinghao Ma, Yizhi Li +22

In the era of extensive intersection between art and Artificial Intelligence (AI), such as image generation and fiction co-creation, AI for music remains relatively nascent, partic…

cs.CV2022★ 4 cited

Mixed Neural Voxels for Fast Multi-view Video Synthesis

Feng Wang, Sinan Tan, Xinghang Li +3

Synthesizing high-fidelity videos from real-world multi-view input is challenging because of the complexities of real-world environments and highly dynamic motions. Previous works…