Image Manipulation

153 papers with code • 1 benchmarks • 4 datasets

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Libraries

Use these libraries to find Image Manipulation models and implementations

Most implemented papers

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.

Swapping Autoencoder for Deep Image Manipulation

taesungp/swapping-autoencoder-pytorch NeurIPS 2020

Deep generative models have become increasingly effective at producing realistic images from randomly sampled seeds, but using such models for controllable manipulation of existing images remains challenging.

Learning Accurate Dense Correspondences and When to Trust Them

PruneTruong/PDCNet CVPR 2021

Establishing dense correspondences between a pair of images is an important and general problem.

Point-to-Point Video Generation

charlescheng0117/p2pvg ICCV 2019

We introduce point-to-point video generation that controls the generation process with two control points: the targeted start- and end-frames.

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

ISICV/ManTraNet CVPR 2019

To fight against real-life image forgery, which commonly involves different types and combined manipulations, we propose a unified deep neural architecture called ManTra-Net.

ManiGAN: Text-Guided Image Manipulation

mrlibw/ManiGAN 12 Dec 2019

The goal of our paper is to semantically edit parts of an image matching a given text that describes desired attributes (e. g., texture, colour, and background), while preserving other contents that are irrelevant to the text.

StyleGAN2 Distillation for Feed-forward Image Manipulation

EvgenyKashin/stylegan2-distillation ECCV 2020

Editing existing images requires embedding a given image into the latent space of StyleGAN2.

Conditional Image Generation and Manipulation for User-Specified Content

IIGROUP/Multi-Modal-CelebA-HQ-Dataset 11 May 2020

This can be done by conditioning the model on additional information.

Pivotal Tuning for Latent-based Editing of Real Images

danielroich/PTI 10 Jun 2021

The key idea is pivotal tuning - a brief training process that preserves the editing quality of an in-domain latent region, while changing its portrayed identity and appearance.

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

rinongal/StyleGAN-nada 2 Aug 2021

Can a generative model be trained to produce images from a specific domain, guided by a text prompt only, without seeing any image?