A multi-view diffusion model generates consistent novel views from sparse images to enable fast 3D scene reconstruction.
Disentan- gled 3d scene generation with layout learning
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Sat2City v2 adapts a pretrained native 3D latent model to generate controllable textured 3D city assets from satellite images via geometry flow fine-tuning and anchored texturing on a collected real dataset.
HOG-Layout enables text-driven hierarchical 3D scene generation, optimization, and real-time editing using LLMs, VLMs, RAG for semantic consistency, and an optimization module for physical plausibility.
citing papers explorer
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CAT3D: Create Anything in 3D with Multi-View Diffusion Models
A multi-view diffusion model generates consistent novel views from sparse images to enable fast 3D scene reconstruction.
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Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image
Sat2City v2 adapts a pretrained native 3D latent model to generate controllable textured 3D city assets from satellite images via geometry flow fine-tuning and anchored texturing on a collected real dataset.
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HOG-Layout: Hierarchical 3D Scene Generation, Optimization and Editing via Vision-Language Models
HOG-Layout enables text-driven hierarchical 3D scene generation, optimization, and real-time editing using LLMs, VLMs, RAG for semantic consistency, and an optimization module for physical plausibility.