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Found 6 papers, 2 papers with code
Brain2Music: Reconstructing Music from Human Brain Activity
The process of reconstructing experiences from human brain activity offers a unique lens into how the brain interprets and represents the world.
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Video-to-music generation demands both a temporally localized high-quality listening experience and globally aligned video-acoustic signatures.
Noise2Music: Text-conditioned Music Generation with Diffusion Models
We introduce Noise2Music, where a series of diffusion models is trained to generate high-quality 30-second music clips from text prompts.
Ranked #2 on
Text-to-Music Generation
on MusicCaps
MusicLM: Generating Music From Text
We introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff".
Ranked #8 on
Text-to-Music Generation
on MusicCaps
Contextual BERT: Conditioning the Language Model Using a Global State
BERT is a popular language model whose main pre-training task is to fill in the blank, i. e., predicting a word that was masked out of a sentence, based on the remaining words.
BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding
For understanding generic documents, information like font sizes, column layout, and generally the positioning of words may carry semantic information that is crucial for solving a downstream document intelligence task.
