6 papers · 1 filter
The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments
Ofir Itzhak Shahar, Gur Elkin, Ohad Ben-Shahar
Jigsaw puzzle solving has been an increasingly popular task in the computer vision research community. Recent works have utilized cutting-edge architectures and computational appro…
Solving Convex Partition Visual Jigsaw Puzzles
Yaniv Ohayon, Ofir Itzhak Shahar, Ohad Ben-Shahar
Jigsaw puzzle solving requires the rearrangement of unordered pieces into their original pose in order to reconstruct a coherent whole, often an image, and is known to be an intrac…
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…
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…
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…
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva +20
This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dat…