RelationVGGT: Visual Geometry Transformers for 3D Spatial Relation Segmentation

arXiv:2610.00970 · cs.CV, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-05

Terminology

• Transformer — 21× in this paper · explained in 2 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Gaussian Splatting — 10× in this paper · explained in 4 episodes
• Core — 9× in this paper · explained in 2 episodes
• Foundation Model — 9× in this paper · explained in 3 episodes
• Grounding — 9× in this paper · explained in 3 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Foundation Models — 6× in this paper · explained in 7 episodes
• 3D Gaussian Splatting — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Feed-forward framework — 3× in this paper · explained in 2 episodes
• Scene Graph Generation — 3× in this paper
• Visual Grounding — 3× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Institutional Review Board — 2× in this paper
• Segmentation Masks — 2× in this paper · explained in 2 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
• Alignment — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• LLM Integration — 1× in this paper · explained in 2 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images
• $\pi^3$: Permutation-Equivariant Visual Geometry Learning
• DINOv2: Learning Robust Visual Features without Supervision
• Tackling View-Dependent Semantics in 3D Language Gaussian Splatting
• COS3D: Collaborative Open-Vocabulary 3D Segmentation
• Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning
• Qwen3-VL Technical Report
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• The Replica Dataset: A Digital Replica of Indoor Spaces

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