GSIR: Generalizable 3D Shape Interpretation and Reconstruction

ECCV 2020 Jianren WangZhaoyuan Fang

Single image 3D shape interpretation and reconstruction are closely related to each other but have long been studied separately and often end up with priors that are highly biased by training classes. Here we present an algorithm extit{(GSIR)}, designed to joint learning these two tasks to capture generic, class-agnostic shape priors for a better understanding of 3D geometry... (read more)

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