SayedNadim/Optimization_Thoery_Final_Project

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Created over 4 years ago
Updated over 3 years ago

SayedNadim/Optimization_Thoery_Final_Project

SayedNadim

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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.

Inpainting-Evaluation-Metrics

The goal of this repo is to provide a common evaluation script for image inpainting tasks. It contains some commonly used image quality metrics for inpainting (e.g., L1, L2, SSIM, PSNR and LPIPS).

SIFNet

Gated_Convolution_Tensorflow

A TensorFlow implementation of Free-Form Image Inpainting with Gated Convolution (https://arxiv.org/abs/1806.03589)

RISP_ECCVW

Levin_Colorization_Python

http://webee.technion.ac.il/people/anat.levin/papers/colorization-siggraph04.pdf

PyTorch_Project_Template

PyTorch project template with/without GAN option.

0-1-Knapsack-Problem-Using-Genetic-Algorithm