ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations.
Junjun YanXinhai ChenZhichao WangEnqiang ZhouJie LiuPublished in: IJCNN (2023)
Keyphrases
- partial differential equations
- neural network
- image denoising
- anisotropic diffusion
- image processing
- numerical solution
- level set
- multiscale
- fourth order
- image enhancement
- differential equations
- diffusion equation
- numerical scheme
- numerical algorithms
- problems in image processing
- energy functional
- mathematical morphology
- semi supervised learning
- pattern recognition
- denoising
- finite difference
- ambrosio tortorelli
- training set
- curve evolution
- experimental data
- nonlinear diffusion
- multiresolution
- numerical methods
- natural images
- boundary value problem
- pairwise
- difference equations
- computer vision