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.
[CVPR 2023 & T-PAMI 2025] Learning Resampling Function for Adaptive and Efficient Image Interpolation
[ICCV 2025] - Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution
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).
A simple wrapper for deep image completion (Iizuka+, SIGGRAPH, 2017) https://github.com/satoshiiizuka/siggraph2017_inpainting
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.
Image reconstruction from scattered samples.
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.
We use a cheXplain autoencoder architecture to encoder real chest x-ray images for counterfactual image generation
A repository containing all the work done in the Numerical Methods subject
Image interpolation using the infinite Laplacian solution. Implementing a semi-implicit numerical method for image reconstruction based on unique Lipschitz extensions. Ideal for high-fidelity image processing applications.