Papers › PID: Physics-Informed Diffusion Model for Infrared Image Generation

PID: Physics-Informed Diffusion Model for Infrared Image Generation

12 Jul 2024arXiv:2407.09299archive 2025-07-28

Fangyuan Mao, Jilin Mei, Shun Lu, Fuyang Liu, Liang Chen, Fangzhou Zhao, Yu Hu

Infrared imaging technology has gained significant attention for its reliable sensing ability in low visibility conditions, prompting many studies to convert the abundant RGB images to infrared images. However, most existing image translation methods treat infrared images as a stylistic variation, neglecting the underlying physical laws, which limits their practical application. To address these issues, we propose a Physics-Informed Diffusion (PID) model for translating RGB images to infrared images that adhere to physical laws. Our method leverages the iterative optimization of the diffusion model and incorporates strong physical constraints based on prior knowledge of infrared laws during training. This approach enhances the similarity between translated infrared images and the real infrared domain without increasing extra training parameters. Experimental results demonstrate that PID significantly outperforms existing state-of-the-art methods. Our code is available at https://github.com/fangyuanmao/PID.

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Code

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fangyuanmao/pid officialmentioned in papermentioned on GitHubpytorchMIT report

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3ran · violated contract
3ran · our draft was wrong
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always fangyuanmao/pid/ldm/modules/x_transformer.py official repository ran · our draft was wrong MIT (permissive) · fe5dd5258046898c · report
calculate_psnr fangyuanmao/pid/metric/core/metrics.py official repository ran fingerprinted MIT (permissive) · dd6ad9d6b59b892f · report
calculate_ssim fangyuanmao/pid/metric/core/metrics.py official repository ran fingerprinted MIT (permissive) · e4e20b2e3b381659 · report
default fangyuanmao/pid/ldm/modules/attention.py official repository ran · violated contract MIT (permissive) · 424012cb37b31172 · report
exists fangyuanmao/pid/ldm/modules/attention.py official repository ran · violated contract MIT (permissive) · aa5486a3650902d8 · report
isimage fangyuanmao/pid/ldm/util.py official repository ran MIT (permissive) · b1368330cf0f5642 · report
ismap fangyuanmao/pid/ldm/util.py official repository ran MIT (permissive) · d72762b700feee6f · report
process_image fangyuanmao/pid/TeVNet/tev2hsv.py official repository ran MIT (permissive) · 35e783a8a8eff097 · report
ssim fangyuanmao/pid/metric/core/metrics.py official repository ran fingerprinted MIT (permissive) · ba721aeacc165234 · report
uniq fangyuanmao/pid/ldm/modules/attention.py official repository ran · our draft was wrong MIT (permissive) · 9a299fe5ae09e407 · report
log_txt_as_img fangyuanmao/pid/ldm/util.py official repository unverified MIT (permissive) · f9bd2e83191afad1 · report
disabled_train identical code first harvested elsewhere ran · violated contract licence of this copy not recorded · 4cb732f513d69dfd · report
uniform_on_device identical code first harvested elsewhere ran · our draft was wrong licence of this copy not recorded · d48d8354986e3b0e · report

Tasks

Image Generation

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Methods

AttentionDiffusionSoftmax

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