jaewon-lee-b/ltew
Learning Local Implicit Fourier Representation for Image Warping, in ECCV 2022
This project helps improve the resolution of images that have been distorted or warped, a common issue in computer vision and virtual reality applications. It takes a low-resolution, potentially warped image as input and outputs a clearer, higher-resolution version of that image. This is particularly useful for researchers or developers working with panoramic views, virtual environments, or any scenario where precise image reconstruction from distorted sources is critical.
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Use this if you need to upscale and correct distorted images from sources like panoramic cameras, 360-degree virtual environments, or fisheye lenses.
Not ideal if your primary goal is general image super-resolution without considering image warping or geometric transformations.
Stars
52
Forks
4
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
May 27, 2023
Commits (30d)
0
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