SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control

• URL: http://arxiv.org/abs/2607.04540v1
• Date: Sun, 05 Jul 2026 23:07:03 GMT
• Title: SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control
• Abstract summary: We present SceneFrom3D, a framework that automatically schedules views from outdoor input geometries.<n>SceneFrom3D further improves controllability through object-level conditioning, assigning each object an identity image for appearance guidance.<n> Experiments demonstrate that SceneFrom3D achieves state-of-the-art geometry-conditioned outdoor 3D generation.
• Score: 16.72440328307137
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Geometry-conditioned 3D scene generation enables the creation of 3D environments from user-provided geometry, offering direct control over scene structure and object layout. To generate such 3D scenes, current methods commonly adopt a three-stage design that first defines a view schedule, then synthesizes multi-view observations along the scheduled views, and finally reconstructs a 3D representation from the generated images. However, defining the view schedule becomes a major bottleneck for outdoor scenes, where large, unstructured, and unbounded geometry makes it difficult to obtain views that provide sufficient coverage while supporting stable generation. To address this bottleneck, we present SceneFrom3D, a framework that automatically schedules views from outdoor input geometries. SceneFrom3D constructs a directed generation graph whose nodes represent anchor views and whose edges represent interpolation trajectories, defining which views to synthesize, which view pairs to interpolate, and in which order generation should proceed. Beyond automatic view scheduling, SceneFrom3D further improves controllability through object-level conditioning, assigning each object an identity image for appearance guidance and a geometry-adherence parameter for region-wise control over the input geometry. Experiments demonstrate that SceneFrom3D achieves state-of-the-art geometry-conditioned outdoor 3D scene generation, producing high-quality scenes with controllable object appearance and geometry adherence.

Related papers

• Scenix: Sparse-View 3D Scene Reconstruction via Executable Scene Programs [36.87702450793552]
  We present textscScenix, a sparse-view 3D scene reconstruction framework via executable scene programs.<n>Given sparse views, textscScenix predicts executable scene programs through perception-grounded asset instantiation and closed-loop spatial refinement.<n>We further introduce observation-consistent supervision that aligns each target scene with the visual evidence available in its input views.
  arXiv  Detail & Related papers  (2026-08-07T09:24:56Z)
• IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation [76.36174247570716]
  We propose IVGT, an Implicit Visual Geometry Transformer that implicitly models continuous and coherent geometry from pose-free multi-view images.<n> IVGT learns a continuous neural scene representation in a canonical coordinate system and supports continuous spatial queries at any 3D positions.<n>It allows direct extraction of continuous and coherent surface geometry, enabling rendering of RGB images, depth maps, and surface normal maps from arbitrary viewpoints.
  arXiv  Detail & Related papers  (2026-05-15T17:59:57Z)
• SceneExpander: Expanding 3D Scenes with Free-Form Inserted Views [69.08965991211704]
  We study 3D scene expansion in a user-centric workflow, starting from a real scene captured by multi-view images.<n>Unlike simple object editing or style transfer in a fixed scene, the inserted view is often 3D-misaligned with the original reconstruction.<n>We propose SceneExpander, which applies test-time adaptation to a parametric feed-forward 3D reconstruction model.
  arXiv  Detail & Related papers  (2026-03-28T02:04:48Z)
• Pano3DComposer: Feed-Forward Compositional 3D Scene Generation from Single Panoramic Image [13.55946265213768]
  Pano3DComposer is an efficient feed-forward framework for panoramic images.<n>This module converts the 3D objects generated by off-the-shelf image-to-3D models from local to world coordinates.
  arXiv  Detail & Related papers  (2026-03-06T04:54:23Z)
• Drag4D: Align Your Motion with Text-Driven 3D Scene Generation [77.79131321983677]
  Drag4D is an interactive framework that integrates object motion control within text-driven 3D scene generation.<n>This framework enables users to define 3D trajectories for the 3D objects generated from a single image, seamlessly integrating them into a high-quality 3D background.
  arXiv  Detail & Related papers  (2025-09-26T05:23:45Z)
• Towards Geometric and Textural Consistency 3D Scene Generation via Single Image-guided Model Generation and Layout Optimization [14.673302810271219]
  We propose a novel three-stage framework for 3D scene generation with explicit geometric representations and high-quality textural details.<n>Our approach not only outperforms state-of-the-art methods in terms of geometric accuracy and texture fidelity of individual generated 3D models, but also has significant advantages in scene layout synthesis.
  arXiv  Detail & Related papers  (2025-07-20T06:59:42Z)
• SCORP: Scene-Consistent Object Refinement via Proxy Generation and Tuning [46.441761732998536]
  We introduce Scene-Consistent Object Refinement via Proxy Generation and Tuning (SCORP)<n>SCORP is a novel 3D enhancement framework that leverages 3D generative priors to recover fine-grained object geometry and appearance under missing views.<n>It achieves consistent gains over recent state-of-the-art baselines on both novel view synthesis and geometry completion tasks.
  arXiv  Detail & Related papers  (2025-06-30T13:26:21Z)
• Constructing a 3D Scene from a Single Image [31.11317559252235]
  SceneFuse-3D is a training-free framework designed to synthesize coherent 3D scenes from a single top-down view.<n>We decompose the input image into overlapping regions and generate each using a pretrained 3D object generator.<n>This modular design allows us to overcome resolution bottlenecks and preserve spatial structure without requiring 3D supervision or fine-tuning.
  arXiv  Detail & Related papers  (2025-05-21T17:10:47Z)
• HiScene: Creating Hierarchical 3D Scenes with Isometric View Generation [50.206100327643284]
  HiScene is a novel hierarchical framework that bridges the gap between 2D image generation and 3D object generation.<n>We generate 3D content that aligns with 2D representations while maintaining compositional structure.
  arXiv  Detail & Related papers  (2025-04-17T16:33:39Z)
• SceneWiz3D: Towards Text-guided 3D Scene Composition [134.71933134180782]
  Existing approaches either leverage large text-to-image models to optimize a 3D representation or train 3D generators on object-centric datasets. We introduce SceneWiz3D, a novel approach to synthesize high-fidelity 3D scenes from text.
  arXiv  Detail & Related papers  (2023-12-13T18:59:30Z)
• Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs [85.54212143154986]
  Controllable scene synthesis consists of generating 3D information that satisfy underlying specifications. Scene graphs are representations of a scene composed of objects (nodes) and inter-object relationships (edges) We propose the first work that directly generates shapes from a scene graph in an end-to-end manner.
  arXiv  Detail & Related papers  (2021-08-19T17:59:07Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.