LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping

no code implementations • 28 Feb 2024 • Changho Choi, Minho Kim, Junhyeok Lee, Hyoung-Kyu Song, Younggeun Kim, Seungryong Kim

We show that our framework is applicable to other generators such as StyleNeRF, paving a way to 3D-aware face swapping and is also compatible with other downstream StyleGAN2 generator tasks.

Face Swapping

Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea

no code implementations • 3 Nov 2020 • Minho Kim, Doyoung Jeong, Hyoungwoo Choi, Yongil Kim

Two out of three people will be living in urban areas by 2050, as projected by the United Nations, emphasizing the need for sustainable urban development and monitoring.

Domain Adaptation Transfer Learning

Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning

no code implementations • 18 May 2020 • Minho Kim, Jongchan Baek, Soohee Han

SAC can deal with not only the flexible charge time but also varying parameters of the battery model caused by aging once the offline learning is completed, which is not the case for the previous studies; in the previous studies, time-consuming optimization has to be implemented for each battery model with a certain set of parameter values.

reinforcement-learning Reinforcement Learning (RL)