arXiv:2610.08790v1 Announce Type: new Abstract: Single-image scene generation aims to produce a complete 3D scene mesh from a single image, including surfaces the camera did not observe. While pretra...
Single-image scene generation aims to produce a complete 3D scene mesh from a single image, including surfaces the camera did not observe. While pretrained 3D object generators encode a strong shape p...
Easy-3Dfy introduces a compositional workflow for single-image 3D scene construction that separates object generation from scene layout estimation. By using a specialized 3D object generator for detailed geometry and a 3D foundation model for spatial understanding, the method aligns object-local meshes with partial scene pointmaps via an RPF-based aligner. This approach consistently outperforms SAM-3Dfy on geometric metrics in Scene-Maker and 3D-FUTURE200 without requiring full scene-level supervision.
arXiv:2606. 08402v2 Announce Type: replace-cross Abstract: Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object relationships, and environmental context from inherently ambiguous visual evidence.
arXiv:2606. 08402v1 Announce Type: cross Abstract: Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object relationships, and environmental context from inherently ambiguous visual evidence.
arXiv:2608. 14136v1 Announce Type: cross Abstract: Octree-based anchor Gaussian Splatting has emerged as a scalable representation for city-scale novel view synthesis, where multi-level anchors adaptively capture scene content from coarse building structures to fine architectural details.
arXiv:2608.29992v1 Announce Type: new Abstract: This paper presents an end-to-end, agent-driven pipeline for the LoD3 reconstruction of facade openings in 3D city models, producing directly usable Ci...
DistScene is a framework for generating 3D scenes from a single image by jointly modeling the environment and individual objects. It introduces Scene-Frame Generation to produce separate environment and object components in a shared coordinate frame, and Object-Centric Refinement to fine‑tune each object with scene context. The method also employs Object-to-Scene Distillation to transfer pretrained object-generation priors to scene generation using automatically composed synthetic scenes, achieving improved spatial coherence on indoor and outdoor benchmarks.
arXiv:2608.05879v2 Announce Type: replace Abstract: Text-driven 3D generation has advanced rapidly in creating large-scale outdoor environments and detailed indoor scenes, but these domains are usual...
arXiv:2608.22821v1 Announce Type: new Abstract: We present SiZeUp, a fast and scalable approach for constructing large-scale 3D urban proxy models directly from calibrated oblique aerial imagery. Our...
arXiv:2609.23386v1 Announce Type: new Abstract: Text-guided 3D building generation holds tremendous application potential, yet existing generative models typically output inseparable single meshes or...
This paper presents an end-to-end, agent-driven pipeline for the LoD3 reconstruction of facade openings in 3D city models, producing directly usable CityGML-conform outputs. In contrast to existing ap...