[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
-
Updated
Jul 25, 2019 - Python
[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
Symmetrization of 2D pattern using nonrigid landmark registration
Python code to swap faces from images and videos using classical and deep learning approach.
Python implementation of an end-to-end pipeline for swapping faces from images and videos using classical and deep learning approach
Implement faceswap on images and videos using Delaunay triangulation, Thin plate spline, and Deep Learning approaches
The aim of this project is to implement an end-to-end pipeline to swap faces in a video just like Snapchat’s face swap filter. <Completed>#
Add a description, image, and links to the thin-plate-spline topic page so that developers can more easily learn about it.
To associate your repository with the thin-plate-spline topic, visit your repo's landing page and select "manage topics."