mlsanityData to 7 Oct 2026

Aided design of bridge aesthetics based on Stable Diffusion fine-tuning

arXiv 2409.15812 ↗First posted 24 Sep 2024cs.LG cs.CVcited by 0

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

Stable Diffusion fine-tuning technique is tried to assist bridge-type innovation. The bridge real photo dataset is built, and Stable Diffusion is fine tuned by using four methods that are Textual Inversion, Dreambooth, Hypernetwork and Lora. All of them can capture the main characteristics of dataset images and realize the personalized customization of Stable Diffusion. Through fine-tuning, Stable Diffusion is not only a drawing tool, but also has the designer's innovative thinking ability. The fine tuned model can generate a large number of innovative new bridge types, which can provide rich inspiration for human designers. The result shows that this technology can be used as an engine of creativity and a power multiplier for human designers.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 6 of its 11 references that are in the map. First posted on arXiv 24 Sep 2024.

Builds on

6 of 11 references.

References · 6

  1. 2023An attempt to generate new bridge types from latent space of variational autoencodercited by 5
  2. 2024An attempt to generate new bridge types from latent space of generative adversarial networkcited by 5
  3. 2024An attempt to generate new bridge types from latent space of PixelCNNcited by 4
  4. 2024An attempt to generate new bridge types from latent space of generative flowcited by 4
  5. 2024An attempt to generate new bridge types from latent space of denoising diffusion Implicit modelcited by 3
  6. 2024An attempt to generate new bridge types from latent space of energy-based modelcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2024A New Chinese Landscape Paintings Generation Model based on Stable Diffusion using DreamBooth
  2. 2024Fine Tuning Text-to-Image Diffusion Models for Correcting Anomalous Images
  3. 2024Consistency Diffusion Bridge Models
  4. 2023Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting
  5. 2023Text Semantics to Image Generation: A method of building facades design base on Stable Diffusion model
  6. 2023Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
  7. 2023Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
  8. 2025Inverse Bridge Matching Distillation