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DistScene: Object-to-Scene Distillation for 3D Scene Generation

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Briefings

DistScene is a new framework for generating 3D scenes from a single image by modeling both the environment and objects jointly. It introduces Scene-Frame Generation to create shared geometric context and Object-Centric Refinement to refine objects locally. The method uses Object-to-Scene Distillation to transfer object priors via synthetic scenes, achieving improved spatial coherence on indoor and outdoor benchmarks compared to existing baselines.

Key points

• The framework jointly models the environment and individual objects to generate single-image compositional 3D scenes.
• Scene-Frame Generation creates separate environment and object components in a shared coordinate frame for geometric context.

Context

This research addresses the challenge of generating realistic 3D scenes from limited visual input by explicitly modeling environmental geometry alongside object placement, unlike prior methods that treat scenes as object collections.

Limitations

Evaluation results are limited to indoor and outdoor benchmarks; specific quantitative metrics or comparative performance data against other methods are not provided in the evidence.

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