- Published on July 28, 2021
- In Deep Tech
Hands-On Guide To Image Extrapolation With Boundless-GAN
Image extrapolation is such a task in computer vision that aims to fill the surrounding region of a sub-image, e.g. completing the object appearing in the image or predicting the unseen view from the scene picture. This task is extremely challenging since the extrapolated image must be realistic with reasonable and meaningful context. Moreover, the extrapolated region should be consistent in structure and texture with the original sub-image.
- By Vijaysinh Lendave
Suppose that given a sub-image (a part of the original image) of the wild scene, you are asked to draw the entire image beyond its boundary without having the entire image. We humans usually first imagine the entire image according to prior knowledge, then we draw the details outwards from inside progressively based on sub-image and imaginary image. This technique is called extrapolation.
Image extrapolation is such a task in computer vision that aims to fill the surrounding region of a sub-image, e.g. completing the object appearing in the image or predicting the unseen view from the scene picture. This task is extremely challenging since the extrapolated image must be realistic with reasonable and meaningful context. Moreover, the extrapolated region should be consistent in stru
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Vijaysinh Lendave
Vijaysinh is an enthusiast in machine learning and deep learning. He is skilled in ML algorithms, data manipulation, handling and visualization, model building.
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