Image Interpolation

12 papers with code • 0 benchmarks • 1 datasets

This task has no description! Would you like to contribute one?


Greatest papers with code

In-Domain GAN Inversion for Real Image Editing

genforce/idinvert ECCV 2020

A common practice of feeding a real image to a trained GAN generator is to invert it back to a latent code.

GAN inversion Image Interpolation +1

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

naver-ai/StyleMapGAN CVPR 2021

Although manipulating the latent vectors controls the synthesized outputs, editing real images with GANs suffers from i) time-consuming optimization for projecting real images to the latent vectors, ii) or inaccurate embedding through an encoder.

Image Interpolation Image Manipulation

Video Compression through Image Interpolation

chaoyuaw/pytorch-vcii ECCV 2018

An ever increasing amount of our digital communication, media consumption, and content creation revolves around videos.

Image Interpolation Video Compression

Denoising Diffusion Implicit Models

openai/improved-diffusion ICLR 2021

Denoising diffusion probabilistic models (DDPMs) have achieved high quality image generation without adversarial training, yet they require simulating a Markov chain for many steps to produce a sample.

Denoising Image Interpolation

Gradient Origin Networks

cwkx/GON ICLR 2021

This paper proposes a new type of generative model that is able to quickly learn a latent representation without an encoder.

Image Interpolation Image Reconstruction

Joint Implicit Image Function for Guided Depth Super-Resolution

ashawkey/jiif 19 Jul 2021

Inspired by the recent progress in implicit neural representation, we propose to formulate the guided super-resolution as a neural implicit image interpolation problem, where we take the form of a general image interpolation but use a novel Joint Implicit Image Function (JIIF) representation to learn both the interpolation weights and values.

Graph Attention Image Interpolation +1

Generative Latent Implicit Conditional Optimization when Learning from Small Sample

IdanAzuri/glico-learning-small-sample 31 Mar 2020

GLICO learns a mapping from the training examples to a latent space and a generator that generates images from vectors in the latent space.

Conditional Image Generation Data Augmentation +3

Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing

drorsimon/image_barycenters 24 Dec 2019

Image interpolation, or image morphing, refers to a visual transition between two (or more) input images.

Image Interpolation Image Morphing

Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians

universome/non-uniform-interpolation 24 Dec 2020

In this work, we propose an approach to perform non-uniform image interpolation based on a Gaussian Mixture Model.

Image Interpolation

Fourier-Domain Optimization for Image Processing

duembgen/fourier-deconv 11 Sep 2018

Image optimization problems encompass many applications such as spectral fusion, deblurring, deconvolution, dehazing, matting, reflection removal and image interpolation, among others.

Deblurring Image Interpolation +1