arXiv:2606.27923v1 Announce Type: cross Abstract: We present Home3D 1.0, a modular image-to-3D generation system that produces high-quality 3D assets from a single reference image, targeting interior design and e-commerce applications. Given a photograph of a furniture or decor item, the system outputs a mesh with physically-based rendering (PBR) materials, and the mesh can be decomposed into material-specific components. The pipeline is organized into four tightly coupled modules: Geometry reconstructs a watertight mesh through latent SDF modelling with a geometry VAE and a coarse-to-fine flo
Advances in latent diffusion models, neural rendering, and geometry reconstruction enable integrated systems to generate high-fidelity 3D assets from single images.
This technology streamlines 3D content creation, making it more accessible and efficient for industries like e-commerce and interior design, potentially democratizing 3D asset generation.
The barrier to entry for high-quality 3D asset creation is lowered, allowing for faster prototyping, richer online experiences, and new opportunities for digital product representation.
- · e-commerce platforms
- · interior design software
- · AR/VR developers
- · 3D asset marketplaces
- · manual 3D modelers (some segments)
- · traditional photogrammetry services
- · low-quality 3D asset providers
Rapid proliferation of photorealistic 3D models of real-world objects in digital environments.
Increased consumer expectation for interactive 3D product visualization, impacting online retail standards.
Potential for autonomous AI agents to design and furnish virtual spaces entirely from conceptual inputs without human 3D artists.
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Read at arXiv cs.AI