mlsanityData to 7 Oct 2026

Category-Specific Object Reconstruction from a Single Image

arXiv 1411.6069 ↗First posted 22 Nov 2014cs.CVcited by 56

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Abstract (arXiv)

Object reconstruction from a single image -- in the wild -- is a problem where we can make progress and get meaningful results today. This is the main message of this paper, which introduces an automated pipeline with pixels as inputs and 3D surfaces of various rigid categories as outputs in images of realistic scenes. At the core of our approach are deformable 3D models that can be learned from 2D annotations available in existing object detection datasets, that can be driven by noisy automatic object segmentations and which we complement with a bottom-up module for recovering high-frequency shape details. We perform a comprehensive quantitative analysis and ablation study of our approach using the recently introduced PASCAL 3D+ dataset and show very encouraging automatic reconstructions on PASCAL VOC.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Nov 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 12; 2023: 15; 2024: 5; 2025: 5; 2026: 1.

56 papers.

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  1. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 395
  2. 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 360
  3. 2025SAM 3D: 3Dfy Anything in Imagescited by 230
  4. 2022Monocular Dynamic View Synthesis: A Reality Checkcited by 199
  5. 2021NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wildcited by 136
  6. 2022MagicPony: Learning Articulated 3D Animals in the Wildcited by 111
  7. 2022CHORE: Contact, Human and Object REconstruction from a single RGB imagecited by 95
  8. 2022What's in your hands? 3D Reconstruction of Generic Objects in Handscited by 90
  9. 2021FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modellingcited by 47
  10. 2023Amodal Ground Truth and Completion in the Wildcited by 43
  11. 2023Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusioncited by 37
  12. 2022Text and Image Guided 3D Avatar Generation and Manipulationcited by 35
38 more
  1. 2021Birds of a Feather: Capturing Avian Shape Models from Imagescited by 30
  2. 2022Topologically-Aware Deformation Fields for Single-View 3D Reconstructioncited by 29
  3. 2021Differentiable Stereopsis: Meshes from multiple views using differentiable renderingcited by 26
  4. 2022SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminatorscited by 26
  5. 2022Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistencycited by 26
  6. 2024Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videoscited by 26
  7. 2024Real3D: Scaling Up Large Reconstruction Models with Real-World Imagescited by 24
  8. 2021To The Point: Correspondence-driven monocular 3D category reconstructioncited by 21
  9. 2021Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wildcited by 19
  10. 2022FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstructioncited by 19
  11. 2024Bayesian Diffusion Models for 3D Shape Reconstructioncited by 19
  12. 2021Learning monocular 3D reconstruction of articulated categories from motioncited by 18
  13. 2021Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstructioncited by 16
  14. 2023DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Fieldcited by 16
  15. 2023SAOR: Single-View Articulated Object Reconstructioncited by 15
  16. 2021StrobeNet: Category-Level Multiview Reconstruction of Articulated Objectscited by 14
  17. 2025Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fieldscited by 13
  18. 20233D Reconstruction of Objects in Hands without Real World 3D Supervisioncited by 12
  19. 2023CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstructioncited by 10
  20. 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Spacecited by 9
  21. 2022Monocular 3D Object Reconstruction with GAN Inversioncited by 8
  22. 2021Multi-Category Mesh Reconstruction From Image Collectionscited by 5
  23. 2024The More You See in 2D, the More You Perceive in 3Dcited by 5
  24. 2022HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstructioncited by 4
  25. 2021Single Image 3D Object Estimation with Primitive Graph Networkscited by 3
  26. 2023A Review of Deep Learning-Powered Mesh Reconstruction Methodscited by 3
  27. 2024Floating No More: Object-Ground Reconstruction from a Single Imagecited by 3
  28. 2021Probabilistic Vehicle Reconstruction Using a Multi-Task CNNcited by 2
  29. 2021Visual Enhanced 3D Point Cloud Reconstruction from A Single Imagecited by 2
  30. 20233D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Datacited by 2
  31. 2023D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstructioncited by 2
  32. 2021Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Priorcited by 1
  33. 2021HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Populationcited by 1
  34. 2023Self-supervised learning of object pose estimation using keypoint predictioncited by 1
  35. 2023SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Camerascited by 1
  36. 2023GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learningcited by 1
  37. 2021Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstructioncited by 0
  38. 2021Weak Multi-View Supervision for Surface Mapping Estimationcited by 0

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