mlsanityData to 14 Oct 2026

FaccAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction

arXiv 2406.01829 ↗First posted 3 Jun 2024cs.GR cs.AI cs.CVcited by 5

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Abstract (arXiv)

We introduce a neuro-symbolic transformer-based model that converts flat, segmented facade structures into procedural definitions using a custom-designed split grammar. To facilitate this, we first develop a semi-complex split grammar tailored for architectural facades and then generate a dataset comprising of facades alongside their corresponding procedural representations. This dataset is used to train our transformer model to convert segmented, flat facades into the procedural language of our grammar. During inference, the model applies this learned transformation to new facade segmentations, providing a procedural representation that users can adjust to generate varied facade designs. This method not only automates the conversion of static facade images into dynamic, editable procedural formats but also enhances the design flexibility, allowing for easy modifications.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 19 of its 63 references that are in the map. First posted on arXiv 3 Jun 2024.

Builds on

19 of 63 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  4. 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
  5. 2021DeepCAD: A Deep Generative Network for Computer-Aided Design Modelscited by 271
  6. 2020PolyGen: An Autoregressive Generative Model of 3D Meshescited by 269
  7. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesiscited by 200
  8. 2020SceneFormer: Indoor Scene Generation with Transformerscited by 158
  9. 2023Scallop: A Language for Neurosymbolic Programmingcited by 63
  10. 2019StructureNet: Hierarchical Graph Networks for 3D Shape Generationcited by 59
  11. 2020Generative Layout Modeling using Constraint Graphscited by 46
  12. 2021BuildingNet: Learning to Label 3D Buildingscited by 33
7 more
  1. 2023Neurosymbolic Models for Computer Graphicscited by 28
  2. 2022LayoutEnhancer: Generating Good Indoor Layouts from Imperfect Datacited by 20
  3. 2020ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesiscited by 19
  4. 2022MatFormer: A Generative Model for Procedural Materialscited by 12
  5. 2013Inverse Procedural Modeling of Facade Layoutscited by 8
  6. 2019City-GAN: Learning architectural styles using a custom Conditional GAN architecturecited by 5
  7. 2019Sketch-n-Sketch: Output-Directed Programming for SVGcited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 3.

5 papers.

  1. 2025Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generationcited by 3
  2. 2025ProcGen3D: Learning Neural Procedural Graph Representations for Image-to-3D Reconstructioncited by 0
  3. 2026HeatMat: Simulation of City Material Impact on Urban Heat Island Effectcited by 0
  4. 2026What a Comfortable World: Ergonomic Principles Guided Apartment Layout Generationcited by 0
  5. 2026Beyond Segmentation: Structurally Informed Facade Parsing from Imperfect Imagescited by 0