ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
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Updated
Sep 10, 2019 - Python
Frame interpolation is used to increase the frame rate of a video, or to create a slow-motion video without lowering the frame rate.
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
HyperInverter: Improving StyleGAN Inversion via Hypernetwork (CVPR 2022)
[NeurIPS 2024] Official Implementation of Attention Interpolation of Text-to-Image Diffusion
Image interpolation implementation using pure python and compare result with Opencv.
Tensorflow implementation of Image-Interpolation-via-Adaptive-separable-convolution ,Simon Niklaus, Long Mai, Feng Liu
image interpolation in python
This repository contains my assignment solutions for the Digital Image Processing course (M2608.001000_001) offered by Seoul National University (Fall 2020).
Image reconstruction from scattered samples.
A simple wrapper for deep image completion (Iizuka+, SIGGRAPH, 2017) https://github.com/satoshiiizuka/siggraph2017_inpainting
A repository containing all the work done in the Numerical Methods subject
Image rotation and translation in C++ using Nearest neighbor interpolation
In this project, I used zero order hold, first order hold, KNN and Bilinear interpolation algorithms for image interpolation. As a result of this, I have shown in my GUI program for an input: zoom in-out with these algorithms and calculated process time for Bresenham line algorithm, DDA line algorithm, grayscale and rotate input image.
Machine Learning Model that takes as input images from NOAA's GOES-16 Satellite to predict future cloud movements and conduct image interpolation between existing images.
The 16th project of "100 Days of SwiftUI" tutorial course from Paul Hudson's "Hacking with Swift" website. An app that tracks who the user meets at conferences, presenting the user's QR code and scaning others' codes. Complete project, including solutions to all the challenges.
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.