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ArchiCell: Spatial Semantics-Aware Autoregressive Modeling for Building Forms

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Multi-level Interaction in Parametric Design
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Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
inferredcites →https://doi.org/10.1007/s41095-022-0321-5openalex-snapshot
A survey of deep learning-based 3D shape generation
inferredcites →https://doi.org/10.1016/j.autcon.2008.10.003openalex-snapshot
Building information modelling framework: A research and delivery foundation for industry stakeholders
inferredcites →https://doi.org/10.1016/j.autcon.2010.06.007openalex-snapshot
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
inferredcites →https://doi.org/10.1016/j.autcon.2010.11.027openalex-snapshot
Analysis of modeling effort and impact of different levels of detail in building information models
inferredcites →https://doi.org/10.1016/j.autcon.2013.10.023openalex-snapshot
Building Information Modeling (BIM) for existing buildings — Literature review and future needs
inferredcites →https://doi.org/10.1016/j.autcon.2020.103131openalex-snapshot
Automated digital modeling of existing buildings: A review of visual object recognition methods
inferredcites →https://doi.org/10.1016/j.autcon.2023.105187openalex-snapshot
Generative AI design for building structures
inferredcites →https://doi.org/10.1016/j.cag.2025.104477openalex-snapshot
ArchComplete: Autoregressive 3D architectural design generation with hierarchical diffusion-based upsampling
inferredcites →https://doi.org/10.1016/j.foar.2024.06.001openalex-snapshot
Optimization-based design exploration of building massing typologies—EvoMass and a typology-oriented computational design optimization method for early-stage performance-based building massing design
inferredcites →https://doi.org/10.1016/j.foar.2024.10.001openalex-snapshot
Generative AI models for different steps in architectural design: A literature review
inferredcites →https://doi.org/10.1017/cbo9780511597237openalex-snapshot
The Social Logic of Space
inferredcites →https://doi.org/10.1038/s41586-025-10041-xopenalex-snapshot
Multimodal learning with next-token prediction for large multimodal models
inferredcites →https://doi.org/10.1068/b060047openalex-snapshot
To Take Hold of Space: Isovists and Isovist Fields
inferredcites →https://doi.org/10.1068/b2684openalex-snapshot
From Isovists to Visibility Graphs: A Methodology for the Analysis of Architectural Space
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.701openalex-snapshot
OctNet: Learning Deep 3D Representations at High Resolutions
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01268openalex-snapshot
Taming Transformers for High-Resolution Image Synthesis
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00614openalex-snapshot
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01103openalex-snapshot
MaskGIT: Masked Generative Image Transformer
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00529openalex-snapshot
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01855openalex-snapshot
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
inferredcites →https://doi.org/10.1109/iccv48922.2021.01174openalex-snapshot
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
inferredcites →https://doi.org/10.1109/wacv56688.2023.00010openalex-snapshot
Token Pooling in Vision Transformers for Image Classification
inferredcites →https://doi.org/10.1145/3807511openalex-snapshot
A Survey on 3D Gaussian Splatting
inferredcites →https://doi.org/10.1145/882262.882324openalex-snapshot
Instant architecture
inferredcites →https://doi.org/10.1177/14780771231168232openalex-snapshot
Using deep learning to generate design spaces for architecture
inferredcites →https://doi.org/10.1177/14780771231168233openalex-snapshot
Synthesis and generation for 3D architecture volume with generative modeling
inferredcites →https://doi.org/10.1609/aaai.v40i16.38417openalex-snapshot
HouseTune: Two-Stage Floorplan Generation with LLM Assistance
inferredcites →https://doi.org/10.3390/su13063394openalex-snapshot
Bill Hillier’s Legacy: Space Syntax—A Synopsis of Basic Concepts, Measures, and Empirical Application
inferredcites →https://doi.org/10.52202/068431-2308openalex-snapshot
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
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