Copertina

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Yixiao, Ikemiya, Yukara, Xia, Gus, Murata, Naoki, Martínez-Ramírez, Marco A., Liao, Wei-Hsiang, Mitsufuji, Yuki, Dixon, Simon
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Sound Artificial Intelligence Multimedia Audio and Speech Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning
di: Zhang, Yixiao, et al.
Pubblicazione: (2024)

SteerMusic: Enhanced Musical Consistency for Zero-shot Text-guided and Personalized Music Editing
di: Niu, Xinlei, et al.
Pubblicazione: (2025)

Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio
di: Batlle-Roca, Roser, et al.
Pubblicazione: (2024)

Large-Scale Training Data Attribution for Music Generative Models via Unlearning
di: Choi, Woosung, et al.
Pubblicazione: (2025)

Cross-Modal Learning for Music-to-Music-Video Description Generation
di: Mao, Zhuoyuan, et al.
Pubblicazione: (2025)

MusRec: Zero-Shot Text-to-Music Editing via Rectified Flow and Diffusion Transformers
di: Boudaghi, Ali, et al.
Pubblicazione: (2025)

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage
di: Tan, Hao Hao, et al.
Pubblicazione: (2024)

Intelligent Text-Conditioned Music Generation
di: Xie, Zhouyao, et al.
Pubblicazione: (2024)

OpenMU: Your Swiss Army Knife for Music Understanding
di: Zhao, Mengjie, et al.
Pubblicazione: (2024)

Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model
di: Karchkhadze, Tornike, et al.
Pubblicazione: (2024)

Can Large Language Models Predict Audio Effects Parameters from Natural Language?
di: Doh, Seungheon, et al.
Pubblicazione: (2025)

DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning
di: Mao, Zhuoyuan, et al.
Pubblicazione: (2025)

Flexible Control in Symbolic Music Generation via Musical Metadata
di: Han, Sangjun, et al.
Pubblicazione: (2024)

Who Gets Heard? Rethinking Fairness in AI for Music Systems
di: Mehta, Atharva, et al.
Pubblicazione: (2025)

SAVGBench: Benchmarking Spatially Aligned Audio-Video Generation
di: Shimada, Kazuki, et al.
Pubblicazione: (2024)

Video-Guided Text-to-Music Generation Using Public Domain Movie Collections
di: Kim, Haven, et al.
Pubblicazione: (2025)

MusicSem: A Semantically Rich Language--Audio Dataset of Natural Music Descriptions
di: Salganik, Rebecca, et al.
Pubblicazione: (2026)

MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
di: You, Fuming, et al.
Pubblicazione: (2024)

MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music
di: Qian, Yikai, et al.
Pubblicazione: (2024)

MeloTrans: A Text to Symbolic Music Generation Model Following Human Composition Habit
di: Wang, Yutian, et al.
Pubblicazione: (2024)

Optimizing Feature Extraction for Symbolic Music
di: Simonetta, Federico, et al.
Pubblicazione: (2023)

Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction
di: Liu, Renhang, et al.
Pubblicazione: (2024)

Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval
di: Doh, SeungHeon, et al.
Pubblicazione: (2024)

A Survey on Evaluation Metrics for Music Generation
di: Kader, Faria Binte, et al.
Pubblicazione: (2025)

A Survey on Multimodal Music Emotion Recognition
di: Liyanarachchi, Rashini, et al.
Pubblicazione: (2025)

MusicScore: A Dataset for Music Score Modeling and Generation
di: Lin, Yuheng, et al.
Pubblicazione: (2024)

EXPOTION: Facial Expression and Motion Control for Multimodal Music Generation
di: Izzati, Fathinah, et al.
Pubblicazione: (2025)

Dance-to-Music Generation with Encoder-based Textual Inversion
di: Li, Sifei, et al.
Pubblicazione: (2024)

Emotion-Aligned Contrastive Learning Between Images and Music
di: Stewart, Shanti, et al.
Pubblicazione: (2023)

Semi-Supervised Contrastive Learning for Controllable Video-to-Music Retrieval
di: Stewart, Shanti, et al.
Pubblicazione: (2024)

VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music
di: Shi, Jiatong, et al.
Pubblicazione: (2024)

ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts
di: Veerendranath, Vishruth, et al.
Pubblicazione: (2024)

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer
di: Yao, Dong, et al.
Pubblicazione: (2023)

Jamendo-QA: A Large-Scale Music Question Answering Dataset
di: Koh, Junyoung, et al.
Pubblicazione: (2025)

A Survey on Cross-Modal Interaction Between Music and Multimodal Data
di: Li, Sifei, et al.
Pubblicazione: (2025)

MusFlow: Multimodal Music Generation via Conditional Flow Matching
di: Song, Jiahao, et al.
Pubblicazione: (2025)

A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation
di: Ishii, Masato, et al.
Pubblicazione: (2024)

SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data
di: Zhang, Liqian, et al.
Pubblicazione: (2024)

Enhancing Expressiveness in Dance Generation via Integrating Frequency and Music Style Information
di: Huang, Qiaochu, et al.
Pubblicazione: (2024)

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation
di: Pina, Leonardo, et al.
Pubblicazione: (2024)