2 papers
cs.SD2024
FINALLY: fast and universal speech enhancement with studio-like quality
Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev +6
In this paper, we address the challenge of speech enhancement in real-world recordings, which often contain various forms of distortion, such as background noise, reverberation, an…
cs.CV2024
Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
Denis Rakitin, Ivan Shchekotov, Dmitry Vetrov
Diffusion distillation methods aim to compress the diffusion models into efficient one-step generators while trying to preserve quality. Among them, Distribution Matching Distillat…