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)
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
A simple wrapper for deep image completion (Iizuka+, SIGGRAPH, 2017) https://github.com/satoshiiizuka/siggraph2017_inpainting
We use a cheXplain autoencoder architecture to encoder real chest x-ray images for counterfactual image generation
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.
Barycentric and bilinear image interpolation in pure Python