activity
20232026
most citedStable Score Distillation for High-Quality 3D Generation

1 citations · 1 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SD2026

Diff-Symbo: Text-Controlled Long-Duration Symbolic Music Generation Using Autoregressive Latent Diffusion Model

Zhiwei Lin, Jun Chen, Boshi Tang +5

Text-controlled symbolic music generation has recently gained research attention due to its versatile, flexible and straightforward approach to music composition. However, previous…

cs.SD2024

SongCreator: Lyrics-based Universal Song Generation

Shun Lei, Yixuan Zhou, Boshi Tang +7

Music is an integral part of human culture, embodying human intelligence and creativity, of which songs compose an essential part. While various aspects of song generation have bee…

cs.SD2024

An End-to-End Approach for Chord-Conditioned Song Generation

Shuochen Gao, Shun Lei, Fan Zhuo +6

The Song Generation task aims to synthesize music composed of vocals and accompaniment from given lyrics. While the existing method, Jukebox, has explored this task, its constraine…

cs.SD2024

The THU-HCSI Multi-Speaker Multi-Lingual Few-Shot Voice Cloning System for LIMMITS'24 Challenge

Yixuan Zhou, Shuoyi Zhou, Shun Lei +2

This paper presents the multi-speaker multi-lingual few-shot voice cloning system developed by THU-HCSI team for LIMMITS'24 Challenge. To achieve high speaker similarity and natura…

cs.MM2024

Enhancing Expressiveness in Dance Generation via Integrating Frequency and Music Style Information

Qiaochu Huang, Xu He, Boshi Tang +6

Dance generation, as a branch of human motion generation, has attracted increasing attention. Recently, a few works attempt to enhance dance expressiveness, which includes genre ma…

cs.SD2024

RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction

Peng Liu, Dongyang Dai, Zhiyong Wu

Recent advancements in generative modeling have significantly enhanced the reconstruction of audio waveforms from various representations. While diffusion models are adept at this…