title: Floating No More: Object-Ground Reconstruction from a Single Image
summary: 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.
paper_authors._id: 66a709fae103701b1e577ca6
paper_authors.name: Yunze Man
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-07-29T07:26:01.066Z
paper_authors._id: 654c09356a49f6f6e0034755
paper_authors.avatarUrl: /avatars/dd1759e8a60f17c1ad33aafd35a7b672.svg
paper_authors.fullname: Yunze Man
paper_authors.type: user
paper_authors.user: yunzeman
paper_authors._id: 66a709fae103701b1e577ca7
paper_authors.name: Yichen Sheng
paper_authors.status: extracted_pending
paper_authors.statusLastChangedAt: 2024-07-29T03:18:19.162Z
paper_authors._id: 6590c0fb89f1ff0463859fa7
paper_authors.avatarUrl: /avatars/986e7fb0cedada46c057598a289a25ef.svg
paper_authors.fullname: sheng
paper_authors.type: user
paper_authors.user: yichen-purdue
paper_authors._id: 66a709fae103701b1e577ca8
paper_authors.name: Jianming Zhang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-07-29T07:26:06.835Z
paper_authors._id: 632d52047bad38a82f75daee
paper_authors.avatarUrl: /avatars/56cc9b5dea95408a83cb80ee8c5565bf.svg
paper_authors.fullname: Jianming Zhang
paper_authors.type: user
paper_authors.user: jimmie33
paper_authors._id: 66a709fae103701b1e577ca9
paper_authors.name: Liang-Yan Gui
paper_authors._id: 66a709fae103701b1e577caa
paper_authors.name: Yu-Xiong Wang
paper_title: Floating No More: Object-Ground Reconstruction from a Single Image
paper_summary: 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.
paper_ai_keywords: 3D object reconstruction single images object shapes inter-relation ground camera reconstructed objects floating tilted 3D-aware image editing shadow rendering object pose manipulation ORG (Object Reconstruction with Ground) pixel-level representations object-ground geometry unseen data shadow generation storage robustness conventional single-image 3D reconstruction techniques