In the previous chapters, we have learned about classifying images, detecting objects in an image, and segmenting the pixels corresponding to objects in images. In this chapter, we will learn about representing an image in a lower dimension using autoencoders and leveraging the lower-dimensional representation of an image to generate new images by using variational autoencoders. Learning to represent images in a lower number of dimensions helps us manipulate (modify) the images to a considerable degree. We will learn about leveraging lower-dimensional representations to generate new images as well as novel images that are based on the content and style of two different images. Next, we will also learn ...
Get Modern Computer Vision with PyTorch now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
