Floating No More: Object-Ground Reconstruction from a Single Image
Authors: name: Yunze Man, name: Yichen Sheng, name: Jianming Zhang, name: Liang-Yan Gui, name: Yu-Xiong Wang

Recent advancements in 3D object reconstruction from single images have
primarily focused on improving the accuracy of object shapes. Yet, these
techniques often fail to accurately capture the inter-relation between the
object, ground, and camera. As a result, the reconstructed objects often appear
floating or tilted when placed on flat surfaces. This limitation significantly
affects 3D-aware image editing applications like shadow rendering and object
pose manipulation. To address this issue, we introduce ORG (Object
Reconstruction with Ground), a novel task aimed at reconstructing 3D object
geometry in conjunction with the ground surface. Our method uses two compact
pixel-level representations to depict the relationship between camera, object,
and ground. Experiments show that the proposed ORG model can effectively
reconstruct object-ground geometry on unseen data, significantly enhancing the
quality of shadow generation and pose manipulation compared to conventional
single-image 3D reconstruction techniques.