SPOON: Towards Coherent Compositional 3D Scene Generation from Uncalibrated Multi-view Images

arXiv:2609.39590 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Alignment — 7× in this paper · explained in 1 episode
• Consistency — 7× in this paper · explained in 3 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Gaussian Splatting — 2× in this paper · explained in 4 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transactions on Graphics — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Flow Matching Model — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• ShapeNet: An Information-Rich 3D Model Repository
• Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention
• Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
• UniRecGen: Unifying Multi-View 3D Reconstruction and Generation
• MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation
• ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
• Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
• Native and Compact Structured Latents for 3D Generation

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