1 citations · 1 across the 3 of their papers we have counts for
5 papers
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…
SCNet: Sparse Compression Network for Music Source Separation
Weinan Tong, Jiaxu Zhu, Jun Chen +5
Deep learning-based methods have made significant achievements in music source separation. However, obtaining good results while maintaining a low model complexity remains challeng…
Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation
Zhiwei Lin, Jun Chen, Boshi Tang +7
Variational Autoencoders (VAEs) constitute a crucial component of neural symbolic music generation, among which some works have yielded outstanding results and attracted considerab…
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes
Boshi Tang, Zhiyong Wu, Xixin Wu +4
Graph neural networks (GNNs) have exhibited impressive performance in modeling graph data as exemplified in various applications. Recently, the GNN calibration problem has attracte…
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations
Zilin Wang, Haolin Zhuang, Lu Li +6
This paper presents an Exploratory 3D Dance generation framework, E3D2, designed to address the exploration capability deficiency in existing music-conditioned 3D dance generation…