Scene Retargeting: Learning Object Placement with Analogical Transfer

arXiv:2609.36801 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Alignment — 10× in this paper · explained in 1 episode
• Fidelity — 10× in this paper · explained in 2 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 7× in this paper
• Physical Constraints — 6× in this paper · explained in 7 episodes
• Adam — 5× in this paper · explained in 2 episodes
• Point Clouds — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 4× in this paper
• Clustering — 4× in this paper · explained in 2 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• Embodied AI — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• ACM Transactions on Graphics — 2× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Affordance — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Hierarchical Framework — 2× in this paper · explained in 2 episodes
• In Boundary — 2× in this paper
• Objective Function — 2× in this paper · explained in 2 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Aperture — 1× in this paper · explained in 1 episode
• Collision Free — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Physically Grounded Semantic Alignment — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• GPT-4 Technical Report
• HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing
• Automated Creation of Digital Cousins for Robust Policy Learning
• Repurposing 3D Generative Model for Autoregressive Layout Generation
• Analogical Trajectory Transfer
• OpenAI GPT-5 System Card
• Gemini: A Family of Highly Capable Multimodal Models
• SimRecon: SimReady Compositional Scene Reconstruction from Real Videos
• SAGE: Scalable Agentic 3D Scene Generation for Embodied AI
• FlowScene: Style-Consistent Indoor Scene Generation with Multimodal Graph Rectified Flow

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