Image Manipulation

65 papers with code • 0 benchmarks • 3 datasets

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

Greatest papers with code

Differentiable Data Augmentation with Kornia

arraiyopensource/kornia 19 Nov 2020

In this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors.

Image Augmentation Image Manipulation +1

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

kornia/kornia 5 Oct 2019

This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.

Edge Detection Image Augmentation +9

Generative Visual Manipulation on the Natural Image Manifold

junyanz/iGAN 12 Sep 2016

Realistic image manipulation is challenging because it requires modifying the image appearance in a user-controlled way, while preserving the realism of the result.

Image Manipulation

SinGAN: Learning a Generative Model from a Single Natural Image

tamarott/SinGAN ICCV 2019

We introduce SinGAN, an unconditional generative model that can be learned from a single natural image.

Image Generation Image Manipulation +1

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

orpatashnik/StyleCLIP 31 Mar 2021

Inspired by the ability of StyleGAN to generate highly realistic images in a variety of domains, much recent work has focused on understanding how to use the latent spaces of StyleGAN to manipulate generated and real images.

Image Manipulation

Designing an Encoder for StyleGAN Image Manipulation

orpatashnik/StyleCLIP 4 Feb 2021

We then suggest two principles for designing encoders in a manner that allows one to control the proximity of the inversions to regions that StyleGAN was originally trained on.

Image Manipulation

Closed-Form Factorization of Latent Semantics in GANs

rosinality/stylegan2-pytorch CVPR 2021

A rich set of interpretable dimensions has been shown to emerge in the latent space of the Generative Adversarial Networks (GANs) trained for synthesizing images.

Image Generation Image Manipulation

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

switchablenorms/CelebAMask-HQ CVPR 2020

To overcome these drawbacks, we propose a novel framework termed MaskGAN, enabling diverse and interactive face manipulation.

Image Manipulation

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

leehomyc/Faster-High-Res-Neural-Inpainting CVPR 2017

Recent advances in deep learning have shown exciting promise in filling large holes in natural images with semantically plausible and context aware details, impacting fundamental image manipulation tasks such as object removal.

Image Inpainting Image Manipulation

Interpreting the Latent Space of GANs for Semantic Face Editing

ShenYujun/InterFaceGAN CVPR 2020

In this work, we propose a novel framework, called InterFaceGAN, for semantic face editing by interpreting the latent semantics learned by GANs.

Face Generation GAN inversion +1