Music Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Musique guitar
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/neurorave/neurorave
공식 코드Continuous descriptor-based control for deep audio synthesis
https://github.com/nextlab-zju/wuyun
공식 코드https://github.com/nvidia/bigvgan
공식 코드BigVGAN: A Universal Neural Vocoder with Large-Scale Training
https://github.com/omarperacha/TonicNet
공식 코드Improving Polyphonic Music Models with Feature-Rich Encoding
https://github.com/p-lambda/jukemir
공식 코드Codified audio language modeling learns useful representations for music information retrieval
https://github.com/plassma/symbolic-music-discrete-diffusion
공식 코드Discrete Diffusion Probabilistic Models for Symbolic Music Generation
https://github.com/pneves1051/transformers_sentiment
공식 코드https://github.com/polimi-ispl/FakeMusicCaps
공식 코드https://github.com/pratiknag/MusicGeneration_with_CAN
공식 코드Unrolled Creative Adversarial Network For Generating Novel Musical Pieces
https://github.com/pskiers/symbotunes
공식 코드Symbotunes: unified hub for symbolic music generative models
https://github.com/qrqrqrqr/emu
공식 코드Enhanced Memory Network: The novel network structure for Symbolic Music Generation
https://github.com/retrocirce/musicldm
공식 코드MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
https://github.com/rmsnow/hat
공식 코드Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
https://github.com/roserbatlleroca/mira
공식 코드Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio
https://github.com/rubensolv/nes-vmdb
공식 코드The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videos
https://github.com/ruiguo-bio/midi-miner
공식 코드Midi Miner -- A Python library for tonal tension and track classification
https://github.com/s603122001/Bidirectional-Music-Style-Transformer
공식 코드Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience
https://github.com/salu133445/mmt
공식 코드https://github.com/salu133445/mtmt
공식 코드https://github.com/salu133445/musegan
공식 코드https://github.com/salu133445/muspy
공식 코드https://github.com/salu133445/muspy-exp
공식 코드https://github.com/sander-wood/text-to-music
공식 코드Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task
https://github.com/serkansulun/midi-emotion
공식 코드Symbolic music generation conditioned on continuous-valued emotions
https://github.com/sfc-computational-creativity-lab/RhythmVAE_M4L
공식 코드https://github.com/sfc-computational-creativity-lab/x-rhythm-can
공식 코드https://github.com/shaopengw/Awesome-Music-Generation
공식 코드https://github.com/sizhelee/diff-bgm
공식 코드Diff-BGM: A Diffusion Model for Video Background Music Generation
https://github.com/slslslrhfem/song_structure_graph
공식 코드Combinatorial music generation model with song structure graph analysis
https://github.com/soham97/pam
공식 코드PAM: Prompting Audio-Language Models for Audio Quality Assessment
https://github.com/stability-ai/stable-audio-tools
공식 코드https://github.com/syf0122/brain_state_pred
공식 코드https://github.com/symphonynet/SymphonyNet
공식 코드Symphony Generation with Permutation Invariant Language Model
https://github.com/ta603/refinpaint
공식 코드Music Proofreading with RefinPaint: Where and How to Modify Compositions given Context
https://github.com/tangjjbetsy/RHEPP-Transformer
공식 코드Reconstructing Human Expressiveness in Piano Performances with a Transformer Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.