831 citations · 1k across the 9 of their papers we have counts for
10 papers
Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification
Sara Miketek, Biagio Barchielli, Nadeem Iqbal Kajla +1
Artistic style classification is usually studied on complete artworks, where models can exploit global composition, spatial organisation, and iconographic structure. In archaeologi…
Solving Jigsaw Puzzles in the Wild: Human-Guided Reconstruction of Cultural Heritage Fragments
Omidreza Safaei, Sinem Aslan, Sebastiano Vascon +3
Reassembling real-world archaeological artifacts from fragmented pieces poses significant challenges due to erosion, missing regions, irregular shapes, and large-scale ambiguity. T…
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…
Nash Meets Wertheimer: Using Good Continuation in Jigsaw Puzzles
Marina Khoroshiltseva, Luca Palmieri, Sinem Aslan +2
Jigsaw puzzle solving is a challenging task for computer vision since it requires high-level spatial and semantic reasoning. To solve the problem, existing approaches invariably us…
Reassembling Broken Objects using Breaking Curves
Ali Alagrami, Luca Palmieri, Sinem Aslan +2
Reassembling 3D broken objects is a challenging task. A robust solution that generalizes well must deal with diverse patterns associated with different types of broken objects. We…
Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans
Sinem Aslan, Luc Steels
What is the creative process through which an artist goes from an original image to a painting? Can we examine this process using techniques from computer vision and pattern recogn…