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Global-and-Local-Attention-Based-Free-Form-Image-Inpainting
Official implementation of "Global and local attention-based free-form image inpainting"Image-Quality-Evaluation-Metrics
Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and feature-level quality metrics such as FID, IS. It can be used for evaluating image denoising, colorization, inpainting, deraining, dehazing etc. where we have access to ground truth.SIFNet
Gated_Convolution_Tensorflow
A TensorFlow implementation of Free-Form Image Inpainting with Gated Convolution (https://arxiv.org/abs/1806.03589)Optimization_Thoery_Final_Project
RISP_ECCVW
Levin_Colorization_Python
http://webee.technion.ac.il/people/anat.levin/papers/colorization-siggraph04.pdfPyTorch_Project_Template
PyTorch project template with/without GAN option.0-1-Knapsack-Problem-Using-Genetic-Algorithm
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