Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method

1 code implementation • 18 May 2022 • Wensheng Li, Chao Zhang, Chuncheng Wang, Hanting Guan, DaCheng Tao

Physics-informed neural networks (PINNs) provide a deep learning framework for numerically solving partial differential equations (PDEs), and have been widely used in a variety of PDE problems.

Adaptive Consistency Prior Based Deep Network for Image Denoising

1 code implementation • CVPR 2021 • Chao Ren, Xiaohai He, Chuncheng Wang, Zhibo Zhao

To solve this problem, we propose a novel model-based denoising method to inform the design of our denoising network.

Image Denoising