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Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation
  and Editing via Content-based Controls

Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls

14 February 2024
Liwei Lin
Gus Xia
Yixiao Zhang
Junyan Jiang
ArXivPDFHTML

Papers citing "Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls"

4 / 4 papers shown
Title
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
Shuyu Li
Shulei Ji
Zihao Wang
Songruoyao Wu
Jiaxing Yu
Kaipeng Zhang
MGen
VGen
70
1
0
01 Apr 2025
Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models
Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models
Atharva Mehta
Shivam Chauhan
Amirbek Djanibekov
Atharva Kulkarni
Gus Xia
Monojit Choudhury
69
0
0
11 Feb 2025
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers
Junghyun Koo
G. Wichern
François Germain
Sameer Khurana
Jonathan Le Roux
34
3
0
02 Apr 2024
Cutting Music Source Separation Some Slakh: A Dataset to Study the
  Impact of Training Data Quality and Quantity
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow
G. Wichern
Prem Seetharaman
Jonathan Le Roux
57
123
0
18 Sep 2019
1