Learning to reconstruct an image from pixel coordinates

Train a neural network to map from x and y coordinate of each pixel to the pixels r,g,b values. The network has 2 inputs (x and y), several fully connected (highway) layers and three outputs (r, g and b).

See implementation in image-learner.ipynb

Examples

Input:

Sample Outputs:

after 12 epochs with a network of width 6 and depth 35

after 520 epochs with a network of width 150 and depth 5

Input:

Sample Outputs:

after 4 epochs with a network of width 6 and depth 25

after 14 epochs with a network of width 6 and depth 25

Input:

Sample Outputs:

after 2 epochs with a network of width 50 and depth 20

after 142 epochs with a network of width 50 and depth 20

Input:

Sample Outputs:

after 7 epochs with a network of width 6 and depth 25

)

after 45 epochs with a network of width 6 and depth 25

Input:

Sample Outputs:

after 8 epochs with a network of width 70 and depth 5

after 75 epochs with a network of width 70 and depth 5