Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
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Abstract (arXiv)
Recent monocular 3D shape reconstruction methods have shown promising zero-shot results on object-segmented images without any occlusions. However, their effectiveness is significantly compromised in real-world conditions, due to imperfect object segmentation by off-the-shelf models and the prevalence of occlusions. To effectively address these issues, we propose a unified regression model that integrates segmentation and reconstruction, specifically designed for occlusion-aware 3D shape reconstruction. To facilitate its reconstruction in the wild, we also introduce a scalable data synthesis pipeline that simulates a wide range of variations in objects, occluders, and backgrounds. Training on our synthetic data enables the proposed model to achieve state-of-the-art zero-shot results on real-world images, using significantly fewer parameters than competing approaches.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 86 of its 104 references that are in the map. First posted on arXiv 21 Mar 2024.
Builds on
86 of 104 references.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 3.
7 papers.
- 2025Amodal3R: Amodal 3D Reconstruction from Occluded 2D Imagescited by 52
- 2025SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Modelcited by 15
- 2024Monocular Human-Object Reconstruction in the Wildcited by 9
- 2025Asset-Driven Sematic Reconstruction of Dynamic Scene with Multi-Human-Object Interactionscited by 0
- 2026Physically Grounded 3D Generative Reconstruction under Hand Occlusion using Proprioception and Multi-Contact Touchcited by 0
- 2026Point-MF: Stabilizing One-Step Mean Flows for Single-Image Point Cloud Reconstructioncited by 0
- 2026Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learningcited by 0
- 2026Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning28 May 2026
- 2026Point-MF: Stabilizing One-Step Mean Flows for Single-Image Point Cloud Reconstruction27 Apr 2026
- 2026Physically Grounded 3D Generative Reconstruction under Hand Occlusion using Proprioception and Multi-Contact Touch10 Apr 2026
- 2025SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Model11 Dec 2025
- 2025Asset-Driven Sematic Reconstruction of Dynamic Scene with Multi-Human-Object Interactions29 Nov 2025
- 2025Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images17 Mar 2025
- 2024Monocular Human-Object Reconstruction in the Wild30 Jul 2024
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- 2024Part123: Part-aware 3D Reconstruction from a Single-view Image
- 2026ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
- 2024Zero-Shot Multi-Object Scene Completion
- 2025SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
- 2023Anything-3D: Towards Single-view Anything Reconstruction in the Wild
- 2025ZeroScene: A Zero-Shot Framework for 3D Scene Generation from a Single Image and Controllable Texture Editing
- 2023Zero-Shot 3D Shape Correspondence
- 2025Zero-P-to-3: Zero-Shot Partial-View Images to 3D Object