Image inpainting using Gans(Deep Learning) -- 2
Budget: $15 – $25 USD
Reconstruct the missing parts and the reconstructed parts should be with certain pixel-wise reconstruction accuracy (i.e. ensure the structure is correct). Then, refine the texture details of the reconstructed parts such that the filled images are with good visual quality.
- First we should be make copy of the real images with size(64*64) and
- Distortion the real images randomly and then
- Make a Gans Network(AutoEncoder and Decoder), put both distortion images and a tiny images which is(64*64) and then
- Inpainting the real images which was distortion using the tiny images(64*64)
So, look the attached file for more detail
- First we should be make copy of the real images with size(64*64) and
- Distortion the real images randomly and then
- Make a Gans Network(AutoEncoder and Decoder), put both distortion images and a tiny images which is(64*64) and then
- Inpainting the real images which was distortion using the tiny images(64*64)
So, look the attached file for more detail