mlsanityData to 14 Oct 2026

UnCommon Objects in 3D

arXiv 2501.07574 ↗First posted 13 Jan 2025cs.CV cs.AI cs.GRcited by 17

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Abstract (arXiv)

We introduce Uncommon Objects in 3D (uCO3D), a new object-centric dataset for 3D deep learning and 3D generative AI. uCO3D is the largest publicly-available collection of high-resolution videos of objects with 3D annotations that ensures full-360circ coverage. uCO3D is significantly more diverse than MVImgNet and CO3Dv2, covering more than 1,000 object categories. It is also of higher quality, due to extensive quality checks of both the collected videos and the 3D annotations. Similar to analogous datasets, uCO3D contains annotations for 3D camera poses, depth maps and sparse point clouds. In addition, each object is equipped with a caption and a 3D Gaussian Splat reconstruction. We train several large 3D models on MVImgNet, CO3Dv2, and uCO3D and obtain superior results using the latter, showing that uCO3D is better for learning applications.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 60 of its 75 references that are in the map. First posted on arXiv 13 Jan 2025.

Builds on

60 of 75 references.

References · 60

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  4. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  5. 2023Segment Anythingcited by 8,234
  6. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
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38 more
  1. 2022DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Stepscited by 1,979
  2. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
  3. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,567
  4. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  5. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  6. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,360
  7. 2019LVIS: A Dataset for Large Vocabulary Instance Segmentationcited by 1,217
  8. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 938
  9. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 849
  10. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  11. 2024LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creationcited by 739
  12. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 703
  13. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  14. 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 652
  15. 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 612
  16. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 439
  17. 2024InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Modelscited by 433
  18. 2024CAT3D: Create Anything in 3D with Multi-View Diffusion Modelscited by 432
  19. 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 378
  20. 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 366
  21. 2023Splatter Image: Ultra-Fast Single-View 3D Reconstructioncited by 364
  22. 2024GS-LRM: Large Reconstruction Model for 3D Gaussian Splattingcited by 349
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  24. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 326
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  38. 2023Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perceptioncited by 167

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 7; 2026: 10.

17 papers.

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  1. 2025Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generationcited by 77
  2. 2025Simulating the Real World: A Unified Survey of Multimodal Generative Modelscited by 15
  3. 2025SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splattingcited by 15
  4. 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimizationcited by 9
  5. 2025Scaling Sequence-to-Sequence Generative Neural Renderingcited by 8
  6. 2026NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Datacited by 3
  7. 2025Droplet3D: Commonsense Priors from Videos Facilitate 3D Generationcited by 1
  8. 2026ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illuminationcited by 1
  9. 2026Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Renderingcited by 1
  10. 2025Audio-Visual Camera Pose Estimation with Passive Scene Sounds and In-the-Wild Videocited by 0
  11. 2026MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidancecited by 0
  12. 2026Every9D-21M: Large-Scale Real-World 9D Canonicalization of Everyday Objectscited by 0
5 more
  1. 2026RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Videocited by 0
  2. 2026Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matchingcited by 0
  3. 2026RefGC-SR2: Reference-guided Super-Resolution and Refinement of AI Generated Contentcited by 0
  4. 2026Emergence of a Shared Canonical Object Frame from In-the-Wild Videoscited by 0
  5. 2026GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Modelcited by 0