Implement an image inpainting model. Image inpainting is a type of image processing that involves removing unwanted objects or regions from an image and filling in the resulting gaps.
**Example:** Given an input image, remove a rectangular region and fill in the resulting gap.
**Constraints:** Use a deep learning model such as the Generative Adversarial Network (GAN) or the Conditional Random Field (CRF) to implement image inpainting. Use a convolutional neural network (CNN) as the generator and a convolutional neural network (CNN) as the discriminator.
Test Cases
Test Case 1
Input:
[[1, 2], [3, 4]]Expected:
[[0.5, 0.5], [0.5, 0.5]]Test Case 2
Input:
[[5, 6], [7, 8]]Expected:
[[0.75, 0.75], [0.75, 0.75]]+ 3 hidden test cases