Floating No More: Object-Ground Reconstruction from a Single Image
<|reference_start|>Floating No More: Object-Ground Reconstruction from a Single Image: 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.<|reference_end|>
@article{man2024floating,
    title={Floating No More: Object-Ground Reconstruction from a Single Image},
    author={Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang},
    journal={arXiv preprint arXiv:2407.18914},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.18914},
    primaryClass={cs.CV}
}