Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. - Dong Bok Lee; Dongchan Min; Seanie Lee; Sung Ju Hwang (ICLR, 2021)

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. - Dongchan Min; Dong Bok Lee; Eunho Yang; Sung Ju Hwang (ICML, 2021)

Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation. - Hyunsu Rhee; Dongchan Min; Sunil Hwang; Bruno Andreis; Sung Ju Hwang (CoRR, 2022)

StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation. - Dongchan Min; Minyoung Song; Sung Ju Hwang (CoRR, 2022)

Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models. - Minki Kang; Dongchan Min; Sung Ju Hwang (CoRR, 2022)

DNN-Based Approach to Mitigate Multipath Errors of Differential GNSS Reference Stations. - Dongchan Min; Minchan Kim; Jin-Sil Lee; Mihaela-Simona Circiu; Michael Meurer; Jiyun Lee (IEEE Trans. Intell. Transp. Syst., 2022)

Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models. - Minki Kang; Dongchan Min; Sung Ju Hwang (ICASSP, 2023)

StyleLipSync: Style-based Personalized Lip-sync Video Generation. - Taekyung Ki; Dongchan Min (ICCV, 2023)

Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. - Doyeon Kim; Eunji Ko; Hyunsu Kim; Yunji Kim; Junho Kim; Dongchan Min; Junmo Kim 002; Sung Ju Hwang (CoRR, 2023)

Learning to Generate Conditional Tri-Plane for 3D-Aware Expression Controllable Portrait Animation. - Taekyung Ki; Dongchan Min; Gyeongsu Chae (ECCV (1), 2024)

FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait. - Taekyung Ki; Dongchan Min; Gyeongsu Chae (CoRR, 2024)