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Found 5 papers, 3 papers with code
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
By employing a non-autoregressive vector field estimator based on a feed-forward transformer and channel-level cross-modal feature fusion with strong temporal alignment, our model generates audio that is highly synchronized with the input video.
Ranked #4 on
Video-to-Sound Generation
on VGG-Sound
Text-to-Song: Towards Controllable Music Generation Incorporating Vocals and Accompaniment
A song is a combination of singing voice and accompaniment.
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and naturalness, yet they lack the capability to control the style attributes of the synthesized singing explicitly.
Domain Adaptive Semantic Segmentation without Source Data
To address these problems, we investigate domain adaptive semantic segmentation without source data, which assumes that the model is pre-trained on the source domain, and then adapting to the target domain without accessing source data anymore.
Test-time Batch Statistics Calibration for Covariate Shift
An previous solution is test time normalization, which substitutes the source statistics in BN layers with the target batch statistics.
