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 …

Fractured object reassembly is a challenging problem in computer vision and graphics with
applications in industrial manufacturing and archaeology. Traditional methods based on …

This paper proposes a novel" auto-agglomerative" 3D fracture assembly method,
PuzzleFusion++, resembling how humans solve challenging spatial puzzles. Starting from …

The automatic assembly problem has attracted increasing interest due to its complex
challenges that involve 3D representation. This paper introduces Jigsaw++, a novel …

Humans possess an extraordinary ability to understand and execute complex manipulation
tasks by interpreting abstract instruction manuals. For robots, however, this capability …

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 use …

Shape assembly, which aims to reassemble separate parts into a complete object, has
gained significant interest in recent years. Existing methods primarily rely on networks to …

Reconstructing a complete object from its parts is a fundamental problem in many scientific
domains. The purpose of this article is to provide a systematic survey on this topic. The …

Imitation learning, eg, diffusion policy, has been proven effective in various robotic
manipulation tasks. However, extensive demonstrations are required for policy robustness …

Functional RNA plays a crucial role in regulating cellular processes throughout the life cycle
of a cell. Identifying functional changes at each stage, from inception to development to …