https://github.com/Cyan0731/MusiConGen
공식 코드MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation
Papers with Code 아카이브
Text-to-Music Generation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amaai-lab/mustango
공식 코드https://github.com/archinetai/audio-diffusion-pytorch
공식 코드Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
https://github.com/black-forest-labs/flux
공식 코드https://github.com/crypto-code/mu-llama
공식 코드Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
https://github.com/feizc/fluxmusic
공식 코드https://github.com/felipemarra/babel-bardo
공식 코드https://github.com/haoheliu/AudioLDM2
공식 코드AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
https://github.com/ivcylc/openmusic
공식 코드Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
https://github.com/ivcylc/qa-mdt
공식 코드Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
https://github.com/kyungsukim42/tokensynth
공식 코드TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument
https://github.com/ldzhangyx/MusicMagus
공식 코드MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models
https://github.com/mulab-mir/song-describer-dataset
공식 코드The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
https://github.com/retrocirce/musicldm
공식 코드MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
https://github.com/sander-wood/text-to-music
공식 코드Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task
https://github.com/schowdhury671/melfusion
공식 코드MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models
https://github.com/shaopengw/Awesome-Music-Generation
공식 코드https://github.com/soham97/pam
공식 코드PAM: Prompting Audio-Language Models for Audio Quality Assessment
https://github.com/stability-ai/stable-audio-metrics
공식 코드https://github.com/stability-ai/stable-audio-tools
공식 코드https://github.com/zelaki/DreamSound
공식 코드Investigating Personalization Methods in Text to Music Generation
https://github.com/0417keito/JEN-1-COMPOSER-pytorch
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
https://github.com/0417keito/JEN-1-pytorch
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
https://github.com/MindSpore-scientific-2/code-11/tree/main/text-to-music
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
https://github.com/MindSpore-scientific-2/code-2/tree/main/text-to-music
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
https://github.com/MindSpore-scientific/code-1/tree/main/token_learner
Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task
https://github.com/MindSpore-scientific/code-10/tree/main/text-to-music
https://github.com/MindSpore-scientific/code-8/tree/main/text-to-music
https://github.com/NVIDIA/elucidated-text-to-audio
https://github.com/atharva20038/music4all
https://github.com/collabora/whisperspeech
https://github.com/declare-lab/tango
https://github.com/facebookresearch/audiocraft
https://github.com/haoheliu/audioldm-training-finetuning
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
https://github.com/lucidrains/musiclm-pytorch
https://github.com/pwc-1/Paper-5/tree/main/musicgen
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.