Fracture Assembly

Fracture assembly focuses on computationally reconstructing broken 3D objects from their fragmented pieces, a challenge with applications in archaeology, orthopedics, and computer vision. Recent research emphasizes developing scalable and robust algorithms, often employing deep learning architectures like transformers and diffusion models, to achieve accurate alignment and merging of fragments, even in the absence of semantic information. These advancements improve the efficiency and accuracy of 3D reconstruction, leading to more effective solutions for diverse applications requiring the reassembly of broken objects.