mlsanityData to 7 Oct 2026

Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts

arXiv 2303.14152 ↗First posted 24 Mar 2023cs.CVcited by 18

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Abstract (arXiv)

Automated shape repair approaches currently lack access to datasets that describe real-world damaged geometry. We present Fantastic Breaks (and Where to Find Them: https://terascale-all-sensing-research-studio.github.io/FantasticBreaks), a dataset containing scanned, waterproofed, and cleaned 3D meshes for 150 broken objects, paired and geometrically aligned with complete counterparts. Fantastic Breaks contains class and material labels, proxy repair parts that join to broken meshes to generate complete meshes, and manually annotated fracture boundaries. Through a detailed analysis of fracture geometry, we reveal differences between Fantastic Breaks and synthetic fracture datasets generated using geometric and physics-based methods. We show experimental shape repair evaluation with Fantastic Breaks using multiple learning-based approaches pre-trained with synthetic datasets and re-trained with subset of Fantastic Breaks.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 23 of its 62 references that are in the map. First posted on arXiv 24 Mar 2023.

Builds on

23 of 62 references.

References · 23

  1. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
  2. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  3. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  4. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  5. 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 601
  6. 2018PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understandingcited by 521
  7. 2021DexYCB: A Benchmark for Capturing Hand Grasping of Objectscited by 320
  8. 2016Thingi10K: A Dataset of 10,000 3D-Printing Modelscited by 182
  9. 2019PQ-NET: A Generative Part Seq2Seq Network for 3D Shapescited by 118
  10. 2015Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocolscited by 98
  11. 2022AKB-48: A Real-World Articulated Object Knowledge Basecited by 81
  12. 2020Generative 3D Part Assembly via Dynamic Graph Learningcited by 65
11 more
  1. 2016A Large Dataset of Object Scanscited by 64
  2. 2021ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenescited by 47
  3. 2022Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysiscited by 44
  4. 2022Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priorscited by 42
  5. 2020TACO: Trash Annotations in Context for Litter Detectioncited by 38
  6. 2022Breaking Bad: A Dataset for Geometric Fracture and Reassemblycited by 38
  7. 2021RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assemblycited by 35
  8. 20173D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Networkcited by 12
  9. 2022DeepMend: Learning Occupancy Functions to Represent Shape for Repaircited by 6
  10. 2022DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repaircited by 5
  11. 2021Remeshing-Free Graph-Based Finite Element Method for Ductile and Brittle Fracturecited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 7; 2025: 5; 2026: 4.

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  1. 2024Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solvingcited by 17
  2. 2024PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verifycited by 14
  3. 2025GARF: Learning Generalizable 3D Reassembly for Real-World Fracturescited by 12
  4. 2024SPAFormer: Sequential 3D Part Assembly with Transformerscited by 11
  5. 2024"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situationscited by 9
  6. 2024A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Partscited by 8
  7. 2024Jigsaw++: Imagining Complete Shape Priors for Object Reassemblycited by 4
  8. 2026TORA: Topological Representation Alignment for 3D Shape Assemblycited by 4
  9. 2025RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objectscited by 3
  10. 2023DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learningcited by 1
  11. 2025E-M3RF: An Equivariant Multimodal 3D Re-assembly Frameworkcited by 1
  12. 2026SARe: Structure-Aware Generative 3D Fragment Reassemblycited by 1
6 more
  1. 2023Pix2Repair: Implicit Shape Restoration from Imagescited by 0
  2. 20243D Shape Completion with Test-Time Trainingcited by 0
  3. 2025Neural Clustering for Prefractured Mesh Generation in Real-time Object Destructioncited by 0
  4. 2025TransBridge: Boost 3D Object Detection by Scene-Level Completion with Transformer Decodercited by 0
  5. 2026Restore3D: Breathing Life into Broken Objects with Shape and Texture Restorationcited by 0
  6. 2026AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agentscited by 0