45 citations · 55 across the 6 of their papers we have counts for
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eess.AS2022★ 2 cited
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models
Minki Kang, Dongchan Min, Sung Ju Hwang
There has been a significant progress in Text-To-Speech (TTS) synthesis technology in recent years, thanks to the advancement in neural generative modeling. However, existing metho…
cs.CV2022★ 6 cited
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation
Dongchan Min, Minyoung Song, Eunji Ko +1
We propose StyleTalker, a novel audio-driven talking head generation model that can synthesize a video of a talking person from a single reference image with accurately audio-synce…
cs.CV2022★ 1 cited
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation
Hyunsu Rhee, Dongchan Min, Sunil Hwang +2
Real-time video segmentation is a crucial task for many real-world applications such as autonomous driving and robot control. Since state-of-the-art semantic segmentation models ar…