2 papers
cs.LG2026
Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations
Muhammad M. Akmal, Kamy Sepehrnoori, Michael J. Pyrcz
Physics-Informed Neural Networks (PINNs) are a widely used data-free method for solving Partial Differential Equations (PDEs) using machine learning. With recent advances in Genera…
cs.CV2025
Hybrid CNN-ViT Framework for Motion-Blurred Scene Text Restoration
Umar Rashid, Muhammad Arslan Arshad, Ghulam Ahmad +3
Motion blur in scene text images severely impairs readability and hinders the reliability of computer vision tasks, including autonomous driving, document digitization, and visual…