InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation

1 code implementation • 24 Sep 2023 • Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu, Jing-Wen Chen, Ulrich Neumann

To facilitate our investigation for robustness and address limitations of previous works, we collect InSpaceType, a high-quality and high-resolution RGBD dataset for general indoor environments.

Indoor Monocular Depth Estimation Monocular Depth Estimation