layout.md

August 13, 2025 · View on GitHub

Layout

  • (CVPR'21) Variational Transformer Networks for Layout Generation, [Paper]
  • (arXiv 2021.10) The Layout Generation Algorithm of Graphic Design Based on Transformer-CVAE, [Paper]
  • (arXiv 2021.12) BLT: Bidirectional Layout Transformer for Controllable Layout Generation, [Paper]
  • (arXiv 2022.02) ATEK: Augmenting Transformers with Expert Knowledge for Indoor Layout Synthesis, [Paper]
  • (arXiv 2022.03) LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network, [Paper], [Code]
  • (arXiv 2022.08) UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation, [Paper]
  • (arXiv 2022.09) Geometry Aligned Variational Transformer for Image-conditioned Layout Generation, [Paper]
  • (arXiv 2022.12) LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer, [Paper], [Code]
  • (arXiv 2022.12) PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image, [Paper]
  • (arXiv 2023.03) DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer, [Paper]
  • (arXiv 2023.04) GUILGET: GUI Layout GEneration with Transformer, [Paper]
  • (arXiv 2023.05) LayoutDM: Transformer-based Diffusion Model for Layout Generation, [Paper]
  • (arXiv 2023.08) MapPrior: Bird鈥檚-Eye View Map Layout Estimation with Generative Models, [Paper], [Code]
  • (arXiv 2023.08) Vision Grid Transformer for Document Layout Analysis, [Paper], [Code]
  • (arXiv 2023.08) Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis, [Paper]
  • (arXiv 2023.10) Dolfin: Diffusion Layout Transformers without Autoencoder, [Paper]
  • (arXiv 2023.11) LayoutPrompter: Awaken the Design Ability of Large Language Models, [Paper], [Code]
  • (arXiv 2023.11) Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation, [Paper], [Project]
  • (arXiv 2024.05) DLAFormer: An End-to-End Transformer For Document Layout Analysis, [Paper]
  • (arXiv 2024.07) CGB-DM: Content and Graphic Balance Layout Generation with Transformer-based Diffusion Model, [Paper], [Code]
  • (arXiv 2025.05) Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers, [Paper]
  • (arXiv 2025.08) Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation, [Paper]