SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding

arXiv:2609.33518 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Grounding — 48× in this paper · explained in 3 episodes
• Core — 20× in this paper · explained in 2 episodes
• Ablation — 18× in this paper · explained in 1 episode
• Visual Grounding — 18× in this paper · explained in 2 episodes
• Regularization — 14× in this paper · explained in 3 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Transformer — 11× in this paper · explained in 2 episodes
• Point Clouds — 7× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• Instruction Tuning — 4× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Embodied AI — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Institutional Review Board — 2× in this paper
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes

Sources

• Grounded 3D-LLM with Referent Tokens
• Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models
• GPT-4 Technical Report

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