mlsanityData to 14 Oct 2026

A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles

arXiv 1711.06769 ↗First posted 17 Nov 2017cs.CV cs.NEcited by 13

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Abstract (arXiv)

In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an improved "child" solution by detecting, extracting, and combining correctly assembled puzzle segments. The solver proposed exhibits state-of-the-art performance solving previously attempted puzzles faster and far more accurately, and also puzzles of size never before attempted. Other contributions include the creation of a benchmark of large images, previously unavailable. We share the data sets and all of our results for future testing and comparative evaluation of jigsaw puzzle solvers.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2017.

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Citing papers per year: 2022: 1; 2023: 3; 2024: 1; 2025: 3; 2026: 5.

13 papers.

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