mlsanityData to 14 Oct 2026

JigSync: Gauge-Resolved Synchronization for Jigsaw Reassembly under Unknown Piece Orientation

arXiv 2609.18379 ↗First posted 16 Sep 2026cs.CVcited by 0

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Abstract (arXiv)

Square jigsaw reassembly requires recovering the spatial arrangement of shuffled fragments from their visual content and pairwise relationships. While recent studies have made substantial progress, existing benchmarks typically assume that all fragments are provided upright, reducing reassembly to a permutation problem. We study the generalized problem in which each fragment may also have gone through an unknown rotation. For this setting we establish a gauge-unobservability theorem: the minimum of the weighted least-squares objective is exactly invariant under a uniform global rotation of arbitrary magnitude, so no residual-based criterion can recover the global orientation. The theorem further identifies how the issue of global orientation can be resolved: an orientation anchor estimated from the content of a single fragment, lying outside its scope, suffices. To address the above, we propose JigSync, which attains 63.8% and 31.8% absolute accuracy (AA) on GAP-3 and GAP-5, respectively, the highest reported on both, while additionally recovering a rotation per piece that neither benchmark requires. We release JigSync, a degradation protocol that sweeps shape, erosion, photometry, grid size, and rotation independently.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 29 of its 49 references that are in the map. First posted on arXiv 16 Sep 2026.

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29 of 49 references.

References · 29

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  3. 2018Unsupervised Representation Learning by Predicting Image Rotationscited by 1,591
  4. 2016Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzlescited by 1,382
  5. 2018Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learningcited by 51
  6. 2022The Met Dataset: Instance-level Recognition for Artworkscited by 40
  7. 2025Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzlescited by 36
  8. 2022Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformerscited by 33
  9. 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassemblycited by 33
  10. 2014Tightness of the maximum likelihood semidefinite relaxation for angular synchronizationcited by 23
  11. 2022Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformercited by 21
  12. 2020Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimizationcited by 20
17 more
  1. 2024Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solvingcited by 19
  2. 2021JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networkscited by 16
  3. 2018Solving Archaeological Puzzlescited by 15
  4. 2019Solving Jigsaw Puzzles with Eroded Boundariescited by 14
  5. 2017A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzlescited by 13
  6. 2024Solving Masked Jigsaw Puzzles with Diffusion Vision Transformerscited by 11
  7. 2015Solving Jigsaw Puzzles with Linear Programmingcited by 10
  8. 2020Pictorial and apictorial polygonal jigsaw puzzles from arbitrary number of crossing cutscited by 10
  9. 2022GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental imagecited by 10
  10. 2025Jigsaw-Puzzles: From Seeing to Understanding to Reasoning in Vision-Language Modelscited by 9
  11. 2023Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solvingcited by 7
  12. 2017DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problemcited by 6
  13. 2025Pairwise Alignment & Compatibility for Arbitrarily Irregular Image Fragmentscited by 6
  14. 2025ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gapscited by 5
  15. 2022TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded Boundariescited by 4
  16. 2025PuzLM: Solving Jigsaw Puzzles with Sequence-to-Sequence Language Modelscited by 4
  17. 2026The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragmentscited by 3

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