mlsanityData to 7 Oct 2026

3D-RelNet: Joint Object and Relational Network for 3D Prediction

arXiv 1906.02729 ↗First posted 6 Jun 2019cs.CVcited by 28

Not on the map. Why?

Abstract (arXiv)

We propose an approach to predict the 3D shape and pose for the objects present in a scene. Existing learning based methods that pursue this goal make independent predictions per object, and do not leverage the relationships amongst them. We argue that reasoning about these relationships is crucial, and present an approach to incorporate these in a 3D prediction framework. In addition to independent per-object predictions, we predict pairwise relations in the form of relative 3D pose, and demonstrate that these can be easily incorporated to improve object level estimates. We report performance across different datasets (SUNCG, NYUv2), and show that our approach significantly improves over independent prediction approaches while also outperforming alternate implicit reasoning methods.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jun 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 7; 2022: 10; 2023: 4; 2024: 7.

28 papers.

Sort:

By area:

  1. 2022Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wildcited by 159
  2. 2021ROCA: Robust CAD Model Retrieval and Alignment from a Single Imagecited by 66
  3. 2024Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single Viewcited by 59
  4. 2022Few-View Object Reconstruction with Unknown Categories and Camera Posescited by 53
  5. 2022Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenescited by 43
  6. 2021Planar Surface Reconstruction from Sparse Viewscited by 40
  7. 2021D3D-HOI: Dynamic 3D Human-Object Interactions from Videoscited by 39
  8. 2022Understanding 3D Object Articulation in Internet Videoscited by 36
  9. 2022Compositional Scene Representation Learning via Reconstruction: A Surveycited by 27
  10. 20213DP3: 3D Scene Perception via Probabilistic Programmingcited by 26
  11. 20233DiffTection: 3D Object Detection with Geometry-Aware Diffusion Featurescited by 26
  12. 2022Virtual Correspondence: Humans as a Cue for Extreme-View Geometrycited by 25
16 more
  1. 2022Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transportcited by 24
  2. 2021Monte Carlo Scene Search for 3D Scene Understandingcited by 19
  3. 2024RelationField: Relate Anything in Radiance Fieldscited by 16
  4. 2022ARM3D: Attention-based relation module for indoor 3D object detectioncited by 11
  5. 2021IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenescited by 9
  6. 2024Coherent 3D Scene Diffusion From a Single RGB Imagecited by 8
  7. 2021What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstructioncited by 7
  8. 20243DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfacecited by 6
  9. 2024V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotationscited by 4
  10. 2023GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Texturescited by 3
  11. 2023Learning to Predict Scene-Level Implicit 3D from Posed RGBD Datacited by 2
  12. 2024CatFree3D: Category-agnostic 3D Object Detection with Diffusioncited by 2
  13. 20223DRM:Pair-wise relation module for 3D object detectioncited by 1
  14. 2022Review on 6D Object Pose Estimation with the focus on Indoor Scene Understandingcited by 0
  15. 2023Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detectioncited by 0
  16. 2024Single-image coherent reconstruction of objects and humanscited by 0