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CycleDiffusion: Voice Conversion Using Cycle-Consistent Diffusion Models

Published in Applied Sciences, Volume 14, Issue 20, Article 9595, 2024

We propose CycleDiffusion, a voice conversion model based on cycle-consistent diffusion to improve quality and consistency.

Recommended citation: Dongsuk Yook, Geonhee Han, Hyung-Pil Chang, In-Chul Yoo. (2024). "CycleDiffusion: Voice Conversion Using Cycle-Consistent Diffusion Models." Applied Sciences, 14(20), 9595.
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Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

Published in CVPR 2025, 2025

A distillation-based framework for compressing diffusion models using randomly conditioned generation.

Recommended citation: Dohyun Kim*, Sehwan Park*, Geonhee Han, Seung Wook Kim, Paul Hongsuck Seo. (2025). "Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression." CVPR 2025.
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DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization

Published in Interspeech 2025, 2025

We propose DGMO, a training-free diffusion-guided mask optimization method for audio source separation.

Recommended citation: Geonyoung Lee*, Geonhee Han*, Paul Hongsuck Seo. (2025). "DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization." Interspeech 2025. (* equal contribution)
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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