Neurips 2023 – PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving

In this episode we discuss PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
by Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa. The paper introduces PuzzleFusion, a neural architecture based on Diffusion Models for spatial puzzle solving. It focuses on jigsaw puzzle solving and room arrangement tasks, using new datasets including synthetic ones generated by Voronoi diagrams and a real dataset from MagicPlan. The paper shows that PuzzleFusion outperforms other methods in both qualitative and quantitative evaluations.