GroundUp: Rapid Sketch-Based 3D City Massing
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Abstract (arXiv)
We propose GroundUp, the first sketch-based ideation tool for 3D city massing of urban areas. We focus on early-stage urban design, where sketching is a common tool and the design starts from balancing building volumes (masses) and open spaces. With Human-Centered AI in mind, we aim to help architects quickly revise their ideas by easily switching between 2D sketches and 3D models, allowing for smoother iteration and sharing of ideas. Inspired by feedback from architects and existing workflows, our system takes as a first input a user sketch of multiple buildings in a top-down view. The user then draws a perspective sketch of the envisioned site. Our method is designed to exploit the complementarity of information in the two sketches and allows users to quickly preview and adjust the inferred 3D shapes. Our model has two main components. First, we propose a novel sketch-to-depth prediction network for perspective sketches that exploits top-down sketch shapes. Second, we use depth cues derived from the perspective sketch as a condition to our diffusion model, which ultimately completes the geometry in a top-down view. Thus, our final 3D geometry is represented as a heightfield, allowing users to construct the city `from the ground up'.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 51 of its 95 references that are in the map. First posted on arXiv 17 Jul 2024.
Builds on
51 of 95 references.
References · 51
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- 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 731
38 more
- 2018Deep Ordinal Regression Network for Monocular Depth Estimationcited by 721
- 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 348
- 2019Enforcing geometric constraints of virtual normal for depth predictioncited by 233
- 2021Efficiently Identifying Task Groupings for Multi-Task Learningcited by 218
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- 20203D Shape Reconstruction from Free-Hand Sketchescited by 20
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- 2022Vitruvio: 3D Building Meshes via Single Perspective Sketchescited by 5
- 2022Interactive Sketching of Mannequin Posescited by 3
- 2023HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Imagescited by 3
50 most cited of 51 All 51 (JSON)
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025Computer-Aided Layout Generation for Building Design: A Reviewcited by 3
- 2026Deep Sketch-Based 3D Modeling: A Surveycited by 3
- 2026SketchingReality: From Freehand Scene Sketches To Photorealistic Imagescited by 1
- 2025Sketch2BIM: A Multi-Agent Human-AI Collaborative Pipeline to Convert Hand-Drawn Floor Plans to 3D BIMcited by 0
- 2026SketchingReality: From Freehand Scene Sketches To Photorealistic Images16 Feb 2026
- 2026Deep Sketch-Based 3D Modeling: A Survey22 Jan 2026
- 2025Sketch2BIM: A Multi-Agent Human-AI Collaborative Pipeline to Convert Hand-Drawn Floor Plans to 3D BIM16 Oct 2025
- 2025Computer-Aided Layout Generation for Building Design: A Review13 Apr 2025
Similar, not cited
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- 2026CoMa: Contextual Massing Generation with Vision-Language Models
- 2026CrossProjection: Geometric Grounding Beyond Viewpoint Change in Architectural Drawings
- 2026PlanCraft: Sketch, Refine, and Furnish for Architect-Inspired Progressive 3D Residential Scene Generation
- 2025Sat2RealCity: Geometry-Aware and Appearance-Controllable 3D Urban Generation from Satellite Imagery
- 2025"Stack It Up!": 3D Stable Structure Generation from 2D Hand-drawn Sketch
- 2025Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models
- 2025From Architectural Sketch to Conceptual Representation: Using Structure-Aware Diffusion Model to Generate Renderings of School Buildings
- 2024Generating floorplans for various building functionalities via latent diffusion model