activity
20192025
most citedMusicLM: Generating Music From Text

189 citations · 313 across the 8 of their papers we have counts for

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Showing cs.SDShow all

5 papers · 1 filter

cs.SD2025

Live Music Models

Lyria Team, Antoine Caillon, Brian McWilliams +33

We introduce a new class of generative models for music called live music models that produce a continuous stream of music in real-time with synchronized user control. We release M…

cs.SD2024

Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance

Xuchan Bao, Judith Yue Li, Zhong Yi Wan +5

Modern music retrieval systems often rely on fixed representations of user preferences, limiting their ability to capture users' diverse and uncertain retrieval needs. To address t…

cs.SD2023★ 2 cited

V2Meow: Meowing to the Visual Beat via Video-to-Music Generation

Kun Su, Judith Yue Li, Qingqing Huang +8

Video-to-music generation demands both a temporally localized high-quality listening experience and globally aligned video-acoustic signatures. While recent music generation models…

cs.SD2023★ 50 cited

Noise2Music: Text-conditioned Music Generation with Diffusion Models

Qingqing Huang, Daniel S. Park, Tao Wang +12

We introduce Noise2Music, where a series of diffusion models is trained to generate high-quality 30-second music clips from text prompts. Two types of diffusion models, a generator…

cs.SD2023★ 189 cited

MusicLM: Generating Music From Text

Andrea Agostinelli, Timo I. Denk, Zalán Borsos +10

We introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff". MusicLM casts the process o…