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
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.
Furthermore, to overcome the limitation of scarce high-quality lightstage data,
we have developed a self-supervised pre-training strategy. This novel
combination of accurate physical modeling and expanded training dataset
establishes a new benchmark in relighting realism.