Summary of Synth-sonar: Sonar Image Synthesis with Enhanced Diversity and Realism Via Dual Diffusion Models and Gpt Prompting, by Purushothaman Natarajan et al.
Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting
by Purushothaman Natarajan, Kamal Basha, Athira Nambiar
First submitted to arxiv on: 11 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a new framework called Synth-SONAR for synthesizing sonar images using diffusion models and GPT prompting. The approach integrates Generative AI-based style injection techniques with publicly available real/simulated data to produce a large sonar data corpus. A dual text-conditioning sonar diffusion model hierarchy is used to generate coarse and fine-grained sonar images with enhanced quality and diversity. The method leverages advanced semantic information from visual language models (VLMs) and GPT-prompting to generate diverse and realistic sonar images from textual prompts. This application of GPT-prompting in sonar imagery is novel, achieving state-of-the-art results in producing high-quality synthetic sonar datasets with significant enhancements in diversity and realism. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Synth-SONAR is a new way to create fake sonar images that are very realistic. Right now, making good sonar images requires collecting lots of data using special sensors, which can be expensive and not always give the best results. This paper shows how to use computers to make better sonar images by combining different types of data and using special techniques called diffusion models and GPT prompting. This makes it possible to create a huge collection of fake sonar images that are very realistic and diverse. |
Keywords
» Artificial intelligence » Diffusion » Diffusion model » Gpt » Prompting
