ScenePilot: Grow-and-Repair Policy for Text-Driven 3D Indoor Scene Generation

arXiv:2608.30307 · cs.CV, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Project page: https://zjw-louie.github.io/ScenePilot

Terminology

• RAG — 18× in this paper · explained in 3 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Reinforcement Multimodal Repair — 6× in this paper
• Ablation — 5× in this paper · explained in 1 episode
• Embodied AI — 5× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Core — 4× in this paper · explained in 2 episodes
• GRPO — 4× in this paper · explained in 6 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Hierarchical Retrieval-Augmented Planning — 3× in this paper
• Action Space — 2× in this paper · explained in 1 episode
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes

Sources

• SAGE: Scalable Agentic 3D Scene Generation for Embodied AI
• InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
• LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
• LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
• SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent
• Text-to-Scene with Large Reasoning Models
• EditThinker: Unlocking Iterative Reasoning for Any Image Editor
• ReasonEdit: Towards Reasoning-Enhanced Image Editing Models
• RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
• MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
• Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• GPT-4o System Card
• OpenAI GPT-5 System Card
• Qwen3-VL Technical Report
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• Billion-scale similarity search with GPUs

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