AINeutralarXiv – CS AI · May 116/10
🧠
R$^3$L: Reasoning 3D Layouts from Relative Spatial Relations
R³L is a new framework that improves 3D layout generation by addressing errors in relative spatial reasoning through invariant spatial decomposition and consistent spatial imagination. The approach tackles the problem of error accumulation in multi-hop reasoning tasks, producing more physically feasible and semantically consistent layouts than previous methods leveraging Multimodal Large Language Models.