Papers with Code 아카이브

Music Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

3

평가표

1

보존된 평가 기록

1

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/liuhaumin/leadsheetgan

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

https://github.com/lucidrains/musiclm-pytorch

MusicLM: Generating Music From Text

https://github.com/lucylow/Stochastic_SoundCloud

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

https://github.com/lukewys/coconet-pytorch

Counterpoint by Convolution

https://github.com/mamhoud/CapstoneProject

A Critical Review of Recurrent Neural Networks for Sequence Learning

https://github.com/mindspore-courses/heads-on-mindspore/tree/main/4-neural_poet_RNN

A Critical Review of Recurrent Neural Networks for Sequence Learning

https://github.com/naotokui/CreativeGAN-Rhythm

Can GAN originate new electronic dance music genres? -- Generating novel rhythm patterns using GAN with Genre Ambiguity Loss

https://github.com/naotokui/RhythmVAE_M4L

Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin

https://github.com/napulen/MiniBach

Deep Learning Techniques for Music Generation -- A Survey

https://github.com/necrashter/SaShiMi-796

It's Raw! Audio Generation with State-Space Models

https://github.com/nicksunday/deepfake-music-detector

FakeMusicCaps: a Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models

https://github.com/ololo123321/maestro

This Time with Feeling: Learning Expressive Musical Performance

https://github.com/prentrodgers/coconet-pytorch-csound

Counterpoint by Convolution

https://github.com/pwc-1/Paper-5/tree/main/musicgen

Simple and Controllable Music Generation

https://github.com/pwc-1/Paper-5/tree/main/musicgen_melody

Simple and Controllable Music Generation

https://github.com/pwc-1/Paper-9/tree/main/2/musicgen

MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation

https://github.com/pwc-1/Paper-9/tree/main/2/musicgen_melody

Mustango: Toward Controllable Text-to-Music Generation

https://github.com/pwc-1/Paper-9/tree/main/4/text-to-music

Simple and Controllable Music Generation

https://github.com/pwc-1/Paper-9/tree/main/7/text-to-music

MusicLM: Generating Music From Text

https://github.com/rf5/diffwave-unconditional

It's Raw! Audio Generation with State-Space Models

https://github.com/rf5/simple-sashimi

It's Raw! Audio Generation with State-Space Models

https://github.com/s-omranpour/Music-Generation

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

https://github.com/safakkbilici/Synthetic-Music-Generation-with-Deep-Neural-Networks

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

https://github.com/salu133445/bmusegan

Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation

https://github.com/sarthak15169/Deep-Music

Deep Learning for Music

https://github.com/scpark20/Music-GPT-2

Music Transformer

https://github.com/sh-lee-prml/BigVGAN

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

https://github.com/sh-lee-prml/hierspeechpp

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

https://github.com/sh-lee-prml/periodwave

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

https://github.com/shansongliu/M2UGen

Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

https://github.com/shansongliu/MU-LLaMA

Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

https://github.com/spear011/scm-dataset

ComMU: Dataset for Combinatorial Music Generation

https://github.com/theodorblackbird/lina-speech

Simple and Controllable Music Generation

https://github.com/ucsd-dsc-arts/dsc160-final-dsc160-final-group19

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

https://github.com/vvvm23/TchAIkovsky-Legacy

Music Transformer

https://github.com/whisperspeech/whisperspeech

Simple and Controllable Music Generation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.