mlsanityData to 14 Oct 2026

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

arXiv 2610.06960 ↗First posted 3 Oct 2026cs.CVcited by 0

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Abstract (arXiv)

We present DistScene, a framework for single-image compositional 3D scene generation by jointly modeling the environment and individual objects. Unlike existing methods that represent scenes primarily as collections of objects, we model the environment as an explicit scene component to provide geometric context for object placement. Specifically, we introduce Scene-Frame Generation, which jointly generates separate environment and object components in a shared coordinate frame, allowing their geometry and relative placement to be learned together. Then we introduce Object-Centric Refinement to refine each object in a local frame with scene context. Finally, we develop Object-to-Scene Distillation to transfer pretrained object-generation priors to scene generation through automatically composed and rendered synthetic scenes. Evaluations on indoor and outdoor benchmarks demonstrate improved scene-level spatial coherence over the evaluated baselines. Project page: https://coolbeam.github.io/DistScene/

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 46 of its 51 references that are in the map. First posted on arXiv 3 Oct 2026.

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46 of 51 references.

References · 46

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34 more
  1. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 261
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  3. 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 213
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  5. 2020Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Imagecited by 172
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  7. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 125
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  11. 2025CAST: Component-Aligned 3D Scene Reconstruction from an RGB Imagecited by 106
  12. 2025Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridgingcited by 99
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  19. 2024InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Modelscited by 56
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  23. 2024Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusioncited by 50
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  25. 2024Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assemblycited by 35
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  28. 2025GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentationcited by 13
  29. 2024DetailGen3D: Generative 3D Geometry Enhancement via Data-Dependent Flowcited by 11
  30. 20263D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Imagecited by 11
  31. 2026Boxer: Robust Lifting of Open-World 2D Bounding Boxes to 3Dcited by 7
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  33. 2026AutoWeather4D: Autonomous Driving Video Weather Conversion via G-Buffer Dual-Pass Editingcited by 4
  34. 2025PoseMaster: A Unified 3D Native Framework for Stylized Pose Generationcited by 3

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