We introduce LayeredDepth, a real and a synthetic dataset tailored to the multi-layer depth estimation task. The real dataset is for benchmark purposes, containing in-the-wild images with high-quality, human-annotated relative depth ground-truth. Complementary to the real-world benchmark, our synthetic dataset allows us to train good-performing models for multi-layer depth estimation.
Hongyu Wen,
Yiming Zuo,
Venkat Subramanian,
Patrick Chen,
Jia Deng
This work was partially supported by the National Science Foundation. We additionally thank friends and colleagues at Princeton University for their data contribution.
