2023
Human Pose Estimation in Extremely Low-Light Conditions
CVPR 2023poster
We study human pose estimation in extremely low-light images. This task is challenging due to the difficulty of collecting real low-light images with accurate labels, and severely corrupted inputs that degrade prediction quality significantly. To address the first issue, we develop a dedicated camer…