Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection
We present a diffusion-based synthesis pipeline for low-resource sand-boil imagery. Using Stable Diffusion XL fine-tuned with DreamBooth and conditioned by a multi-branch ControlNet stack, the pipeline generates synthetic inspection images from a small curated reference set. A soft-mask inpainting protocol preserves the real defect pixels while re-rendering the surrounding scene, avoiding seams and color shifts from prior seamless-cloning compositing.
- ▪We present a diffusion-based synthesis pipeline for low-resource sand-boil imagery.
- ▪Using Stable Diffusion XL fine-tuned with DreamBooth and conditioned by a multi-branch ControlNet stack, the pipeline generates synthetic inspection images from a small curated reference set.
- ▪A soft-mask inpainting protocol preserves the real defect pixels while re-rendering the surrounding scene, avoiding seams and color shifts from prior seamless-cloning compositing.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2607.08794 |
| Publication time | Mon, 13 Jul 2026 00:00:00 -0400 |
| Retrieval time | 2026-07-13T04:20:37.625Z |
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Computer Science > Graphics arXiv:2607.08794 (cs) [Submitted on 8 Jul 2026] Title:Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection Authors:Padam Jung Thapa, Abdullah Bin Naeem, Ayon Dey, Anav Katwal, Md Tamjidul Hoque View a PDF of the paper titled Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection, by Padam Jung Thapa and 4 other authors View PDF HTML (experimental) Abstract:Sand boils on earthen levees are safety-critical defects, but pixel-level detection is limited by scarce annotations. We present a diffusion-based synthesis pipeline for low-resource sand-boil imagery.
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