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Adeela Islam

2 accepted papers

2025

ReassembleNet: Learnable Keypoints and Diffusion for 2D Fresco Reconstruction

ICCV 2025poster

The task of reassembly is a significant challenge across multiple domains, including archaeology, genomics, and molecular docking, requiring the precise placement and orientation of elements to reconstruct an original structure. In this work, we address key limitations in state-of-the-art Deep Learn…

Cited by 0SourcePDFScholar
2024

Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving

NeurIPS 2024poster

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 dataset has unique properties that are uncommon to current benchmarks for 2D and 3D puzzle solving. The fragments and fract…

Cited by 3SourcePDFScholar