Hoon Kim — accepted AI-conference papers

2024

SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting

Hoon Kim, Minje Jang, Wonjun Yoon, Jisoo Lee, Donghyun Na, Sanghyun Woo

CVPR 2024highlight

We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework. Drawing on the Cook-Torrance reflectance model we have meticulously configured the architecture design to precisely simulate light-surface interactions. Furthe…

Cited by 19 Source ↗PDF ↗Scholar ↗

2018

Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings

Kangwook Lee, Hoon Kim, Changho Suh

ICLR 2018poster

Collecting a large dataset with high quality annotations is expensive and time-consuming. Recently, Shrivastava et al. (2017) propose Simulated+Unsupervised (S+U) learning: It first learns a mapping from synthetic data to real data, translates a large amount of labeled synthetic data to the ones tha…

Cited by 21 Source ↗PDF ↗Scholar ↗