Communications of the ACM
ML Approach Brings Digital Photos Back to Life
Researchers at Texas A&M University have developed a machine-learning-based approach that allows users to take a single photo and use it to generate novel views of the same scene.
Credit: Nima Kalantari
A machine learning (ML) technique developed by researchers at Texas A&M University (TAMU) enables users to produce novel views of a scene from a single photo.
TAMU's Nima Kalantari said, "We can download and use any image on the Internet, even ones that are 100 years old, and essentially bring it back to life and look at it from different angles."
Kalantari and graduate student Qinbo Li trained a deep learning network to generate novel views based on a single input image by showing it a set of over 2,000 images and corresponding novel-view images.
Each input image was converted into a multiplane image, training the network to infer the location of objects in the scene.
From Texas A&M Engineering News
View Full Article
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
No entries found