Core Concepts
SelfHDR proposes a self-supervised HDR reconstruction method using multi-exposure images.
Abstract
Self-supervised HDR reconstruction method proposed.
Challenges in dynamic scenes for HDR imaging discussed.
SelfHDR approach detailed with color and structure components.
Experiments show superior results compared to state-of-the-art methods.
Ablation studies conducted to analyze the effectiveness of components.
Stats
최신 방법들을 능가하는 결과를 보여줌
SelfHDR은 자가 감독 HDR 재구성 방법 제안
Quotes
"Experiments on real-world images demonstrate our SelfHDR achieves superior results against the state-of-the-art self-supervised methods."
"We propose a self-supervised HDR reconstruction method named SelfHDR, which learns an HDR reconstruction network by decomposing latent ground-truth into constructible color and structure component supervisions."