ThinkBLOX: 3D Indoor Scene Generation with Progressive Reasoning

Jul 16, 2026

Researchers introduce ThinkBLOX, a vision-language model (VLM)-based framework for generating 3D indoor scenes through iterative, step-by-step reasoning and action. The system leverages a new dataset with Chain-of-Thought rationales and employs a reinforcement learning scheme to improve the physical plausibility, semantic alignment, and editability of generated scenes. Experiments show ThinkBLOX outperforms recent one-shot and iterative baselines in these areas and supports both global and local scene generation and rearrangement.

Why it matters: This work represents a notable advance in 3D scene generation by enabling more physically and semantically plausible, editable layouts through progressive reasoning.

Full story at: arXiv Computer Vision ↗