Image synthesis using convolutional neural network
Ganesh Bhat, S. N. Dharwadkar, N. V. Subba Reddy, G Shivaprasad · 2017
The image processing task for conversion of image style is a tedious task. The previous approaches carried out in this area lacked in extracting higher level of abstractions from the input image, hence failed to generate image content from the acquired knowledge. Hence to achieve higher level knowledge from the object to be recognized, we make use of convolutional neural networks which aid in achieving higher quality images. The proposed work uses a Neural Algorithm that produces an image with a new style using the knowledge acquired from input image. Our work provides a new approach for deep representations of images using Neural Networks, hence demonstrating the generation of high level image synthesis and manipulation.