mlsanityData to 7 Oct 2026

3D-FUTURE: 3D Furniture shape with TextURE

arXiv 2009.09633 ↗First posted 21 Sep 2020cs.CVcited by 306

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Cited by 36 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric details and less informative textures, making them less attractive for comprehensive and subtle research in areas such as high-quality 3D mesh and texture recovery. This paper presents 3D Furniture shape with TextURE (3D-FUTURE): a richly-annotated and large-scale repository of 3D furniture shapes in the household scenario. At the time of this technical report, 3D-FUTURE contains 20,240 clean and realistic synthetic images of 5,000 different rooms. There are 9,992 unique detailed 3D instances of furniture with high-resolution textures. Experienced designers developed the room scenes, and the 3D CAD shapes in the scene are used for industrial production. Given the well-organized 3D-FUTURE, we provide baseline experiments on several widely studied tasks, such as joint 2D instance segmentation and 3D object pose estimation, image-based 3D shape retrieval, 3D object reconstruction from a single image, and texture recovery for 3D shapes, to facilitate related future researches on our database.

Key facts. Cited by 306 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 15; 2023: 42; 2024: 65; 2025: 89; 2026: 83.

306 papers.

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  1. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
  2. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
  3. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 742
  4. 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 360
  5. 2023LayoutGPT: Compositional Visual Planning and Generation with Large Language Modelscited by 337
  6. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 324
  7. 2023PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Trackingcited by 274
  8. 2023Uni3D: Exploring Unified 3D Representation at Scalecited by 231
  9. 2023Scalable 3D Captioning with Pretrained Modelscited by 201
  10. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesiscited by 195
  11. 2023OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understandingcited by 183
  12. 2023Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigationcited by 162
38 more
  1. 2023DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesiscited by 159
  2. 2025Native and Compact Structured Latents for 3D Generationcited by 157
  3. 2023Infinite Photorealistic Worlds using Procedural Generationcited by 142
  4. 2024ShapeLLM: Universal 3D Object Understanding for Embodied Interactioncited by 133
  5. 2024Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generationcited by 129
  6. 2024PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AIcited by 116
  7. 2024RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videoscited by 113
  8. 2024MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generationcited by 113
  9. 2024InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Priorcited by 110
  10. 2023Controllable Human-Object Interaction Synthesiscited by 107
  11. 2025CAST: Component-Aligned 3D Scene Reconstruction from an RGB Imagecited by 101
  12. 2024MeshXL: Neural Coordinate Field for Generative 3D Foundation Modelscited by 100
  13. 2022Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIPcited by 97
  14. 2025Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridgingcited by 95
  15. 2024LN3DIFF++: Scalable Latent Neural Fields Diffusion for Speedy 3D Generationcited by 91
  16. 2024I-Design: Personalized LLM Interior Designercited by 87
  17. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assetscited by 85
  18. 2023AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homescited by 81
  19. 2024BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolationcited by 81
  20. 2024Scaling Mesh Generation via Compressive Tokenizationcited by 71
  21. 2021Panoptic 3D Scene Reconstruction From a Single RGB Imagecited by 70
  22. 2021ROCA: Robust CAD Model Retrieval and Alignment from a Single Imagecited by 66
  23. 2022Texturify: Generating Textures on 3D Shape Surfacescited by 65
  24. 2025Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generationcited by 65
  25. 2024Advances in 3D Generation: A Surveycited by 62
  26. 2022DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesiscited by 61
  27. 2024Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single Viewcited by 59
  28. 20223DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Modelscited by 57
  29. 2022MIME: Human-Aware 3D Scene Generationcited by 57
  30. 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusioncited by 54
  31. 2025SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agentcited by 53
  32. 2025Amodal3R: Amodal 3D Reconstruction from Occluded 2D Imagescited by 52
  33. 2024TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusioncited by 51
  34. 2025SceneGen: Single-Image 3D Scene Generation in One Feedforward Passcited by 49
  35. 2022NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactionscited by 44
  36. 2022Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenescited by 43
  37. 2024SceneTeller: Language-to-3D Scene Generationcited by 43
  38. 2025TexVerse: A Universe of 3D Objects with High-Resolution Texturescited by 41

50 most cited of 306 All 306 (JSON)