papers-for-generative-design is a collection of papers, articles, and codes for generative design giving design inspiration.
| title | year | paper | code | note |
|---|---|---|---|---|
| Computer Vision and Pattern Recognition | arXiv | |||
| Annotated Research Paper Immplementations | labml.ai | |||
| An Introduction to Neural Implicit Representations with Use Cases | medium | Implicit Representation | ||
| GenVDM: Generating Vector Displacement Maps From a Single Image | 2025 | arXiv | 📄 | Vector Displacement Map |
| LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models | 2025 | arXiv | Differentiable Optimization | |
| Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM | 2024 | arXiv | LLM | |
| MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers | 2024 | arXiv | 📄 | Transformer |
| Free-form Floor Plan Design using Differentiable Voronoi Diagram | 2024 | paper | 📄 | Differentiable Voronoi |
| UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion | 2024 | arXiv | 📄 | UDFs · Diffusion |
| Holodeck: Language Guided Generation of 3D Embodied AI Environments | 2023 | arXiv | 📄 | LLM · Linear Programming |
| LayoutGPT: Compositional Visual Planning and Generation with Large Language Models | 2023 | arXiv | 📄 | LLM · Numerical Reasoning |
| Polynomial Implicit Neural Representations For Large Diverse Datasets | 2023 | arXiv | 📄 | Implicit Representation |
| GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation | 2023 | arXiv | GAN · GA | |
| Architext: Language-Driven Generative Architecture Design | 2023 | arXiv | LLM | |
| ProcTHOR: Large-Scale Embodied AI Using Procedural Generation | 2022 | arXiv | 📄 | Procedural Generation |
| HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising | 2022 | arXiv | 📄 | Diffusion |
| House-GAN++: Generative Adversarial Layout Refinement Networks | 2021 | arXiv | 📄 | GAN · Graph |
| Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation | 2021 | arXiv | 📄 | GAN · Graph |
| World-GAN: a Generative Model for Minecraft Worlds | 2021 | arXiv | 📄 | GAN |
| A generative architectural and urban design method through artificial neural networks | 2021 | ScienceDirect | ||
| Diffusion Probabilistic Models for 3D Point Cloud Generation | 2021 | arXiv | 📄 | Diffusion |
| An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 2020 | arXiv | 📄 | Transformer |
| House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation | 2020 | arXiv | 📄 | GAN · Graph |
| Neural Unsigned Distance Fields for Implicit Function Learning | 2020 | arXiv | 📄 | Implicit Representation |
| NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis | 2020 | arXiv | 📄 | |
| Denoising Diffusion Probabilistic Models | 2020 | arXiv | 📄 | Diffusion |
| Automatic Generation of Game Content using a Graph-based Wave Function Collapse Algorithm | 2019 | ResearchGate | WFC · Graph | |
| DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation | 2019 | arXiv | 📄 | SDFs · Implicit Representation |
| Learning Implicit Fields for Generative Shape Modeling | 2018 | arXiv | 📄 | Implicit Field |
| Graph Attention Networks | 2017 | arXiv | 📄 | Graph |
| Exploring Generative 3D Shapes Using Autoencoder Networks | 2017 | paper | Autoencoder | |
| Attention Is All You Need | 2017 | arXiv | 📄 | Transformer |
| Variational Graph Auto-Encoders | 2016 | arXiv | 📄 | Graph, VAE |
| Semi-Supervised Classification with Graph Convolutional Networks | 2016 | arXiv | 📄 | Graph |
| Conditional Generative Adversarial Nets | 2014 | arXiv | 📄 | Conditional GAN |
| Generative Adversarial Networks | 2014 | arXiv | 📄 | GAN |
| Auto-Encoding Variational Bayes | 2013 | arXiv | 📄 | VAE |