1 citations · 3 across the 15 of their papers we have counts for
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Hear What Matters! Text-conditioned Selective Video-to-Audio Generation
Junwon Lee, Juhan Nam, Jiyoung Lee
This work introduces a new task, text-conditioned selective video-to-audio (V2A) generation, which produces only the user-intended sound from a multi-object video. This capability…
SAGA-SR: Semantically and Acoustically Guided Audio Super-Resolution
Jaekwon Im, Juhan Nam
Versatile audio super-resolution (SR) aims to predict high-frequency components from low-resolution audio across diverse domains such as speech, music, and sound effects. Existing…
KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation
Yoonjin Chung, Pilsun Eu, Junwon Lee +3
Although being widely adopted for evaluating generated audio signals, the Fréchet Audio Distance (FAD) suffers from significant limitations, including reliance on Gaussian assumpti…
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
Jaekwon Im, Juhan Nam
Versatile audio super-resolution (SR) is the challenging task of restoring high-frequency components from low-resolution audio with sampling rates between 4kHz and 32kHz in various…