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cs.CV2025
PuzLM: Solving Jigsaw Puzzles with Sequence-to-Sequence Language Models
Gur Elkin, Ofir Itzhak Shahar, Ohad Ben-Shahar
Square jigsaw puzzles are typically solved by visually matching piece images to recover the original layout. This work introduces PuzLM, an alternative perspective that recasts jig…
cs.CV2025
Pairwise Alignment & Compatibility for Arbitrarily Irregular Image Fragments
Ofir Itzhak Shahar, Gur Elkin, Ohad Ben-Shahar
Pairwise compatibility calculation is at the core of most fragments-reconstruction algorithms, in particular those designed to solve different types of the jigsaw puzzle problem. H…
cs.CV2025
Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation
Gur Elkin, Ofir Itzhak Shahar, Yaniv Ohayon +2
Ancient artworks obtained in archaeological excavations usually suffer from a certain degree of fragmentation and physical degradation. Often, fragments of multiple artifacts from…