Search Results for author: Boshi Tang

Found 10 papers, 1 papers with code

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

no code implementations10 Sep 2024 Shuochen Gao, Shun Lei, Fan Zhuo, Hangyu Liu, Feng Liu, Boshi Tang, Qiaochu Huang, Shiyin Kang, Zhiyong Wu

The Song Generation task aims to synthesize music composed of vocals and accompaniment from given lyrics.

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning

no code implementations9 Sep 2024 Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li

In this framework, we deploy a diffusion model on the server to integrate the diverse parameter distributions and propose a parameter inversion method to efficiently generate a set of personalized parameters for each client.

Denoising Personalized Federated Learning

SongCreator: Lyrics-based Universal Song Generation

1 code implementation9 Sep 2024 Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng

While various aspects of song generation have been explored by previous works, such as singing voice, vocal composition and instrumental arrangement, etc., generating songs with both vocals and accompaniment given lyrics remains a significant challenge, hindering the application of music generation models in the real world.

Language Modelling Music Generation

Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation

no code implementations15 Jan 2024 Zhiwei Lin, Jun Chen, Boshi Tang, Binzhu Sha, Jing Yang, Yaolong Ju, Fan Fan, Shiyin Kang, Zhiyong Wu, Helen Meng

Variational Autoencoders (VAEs) constitute a crucial component of neural symbolic music generation, among which some works have yielded outstanding results and attracted considerable attention.

Music Generation

SimCalib: Graph Neural Network Calibration based on Similarity between Nodes

no code implementations19 Dec 2023 Boshi Tang, Zhiyong Wu, Xixin Wu, Qiaochu Huang, Jun Chen, Shun Lei, Helen Meng

A novel calibration framework, named SimCalib, is accordingly proposed to consider similarity between nodes at global and local levels.

Graph Neural Network

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

no code implementations18 Dec 2023 Zilin Wang, Haolin Zhuang, Lu Li, Yinmin Zhang, Junjie Zhong, Jun Chen, Yu Yang, Boshi Tang, Zhiyong Wu

This paper presents an Exploratory 3D Dance generation framework, E3D2, designed to address the exploration capability deficiency in existing music-conditioned 3D dance generation models.

Stable Score Distillation for High-Quality 3D Generation

no code implementations14 Dec 2023 Boshi Tang, Jianan Wang, Zhiyong Wu, Lei Zhang

Although Score Distillation Sampling (SDS) has exhibited remarkable performance in conditional 3D content generation, a comprehensive understanding of its formulation is still lacking, hindering the development of 3D generation.

3D Generation

AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation

no code implementations11 Oct 2023 Liyang Chen, Weihong Bao, Shun Lei, Boshi Tang, Zhiyong Wu, Shiyin Kang, HaoZhi Huang, Helen Meng

Existing works mostly neglect the person-specific talking style in generation, including facial expression and head pose styles.

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

no code implementations21 Jun 2023 Yukun Huang, Jianan Wang, Yukai Shi, Boshi Tang, Xianbiao Qi, Lei Zhang

Text-to-image diffusion models pre-trained on billions of image-text pairs have recently enabled 3D content creation by optimizing a randomly initialized differentiable 3D representation with score distillation.

3D Generation Diversity +1

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