PID: Physics-Informed Diffusion Model for Infrared Image Generation

Fangyuan Mao; Jilin Mei; Shun Lu; Fuyang Liu; L.X. Chen; Fangzhou Zhao; Yu Hu

doi:10.1016/j.patcog.2025.111816

ScienceGate Book Chapters

JOURNAL ARTICLE

PID: Physics-Informed Diffusion Model for Infrared Image Generation

Fangyuan Mao Jilin Mei Shun Lu Fuyang Liu L.X. Chen Fangzhou Zhao Yu Hu

Year: 2025 Journal: Pattern Recognition Vol: 169 Pages: 111816-111816 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2025.111816

Get Full-Text PDF Get Analytical Report

Keywords:

PID controller Infrared Image (mathematics) Diffusion Computer vision Physics Artificial intelligence Computer science Optics Thermodynamics Temperature control

Metrics

Cited By

23.87

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

PID: Physics-Informed Diffusion Model for Infrared Image Generation

Metrics

Citation History

Topics

Related Documents

STEMDiff: A Wavelet‐Enhanced Diffusion Model for Physics‐Informed STEM Image Generation

Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model

Realistic infrared image generation based on physics-guided latent diffusion

Physics-Informed Diffusion Model for Complex-Valued Radar Sea Clutter Generation

PIDiff: Physics informed diffusion model for protein pocket-specific 3D molecular generation