Image-to-Image Translation

245 papers with code • 30 benchmarks • 21 datasets

Image-to-image translation is the task of taking images from one domain and transforming them so they have the style (or characteristics) of images from another domain.

( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )

Latest papers with code

Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization

zhangqianhui/Sawn 31 May 2021

Controllable person image generation aims to produce realistic human images with desirable attributes (e. g., the given pose, cloth textures or hair style).

Image-to-Image Translation Pose Transfer

31 May 2021

GANs Can Play Lottery Tickets Too


In this work, we for the first time study the existence of such trainable matching subnetworks in deep GANs.

Image-to-Image Translation

31 May 2021

Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net

laxmaniron/MSG-U-Net 27 May 2021

We provide the code of MSG U-Net model at https://github. com/laxmaniron/MSG-U-Net.

Image-to-Image Translation

27 May 2021

High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

csjliang/LPTN 19 May 2021

Existing image-to-image translation (I2IT) methods are either constrained to low-resolution images or long inference time due to their heavy computational burden on the convolution of high-resolution feature maps.

Image Enhancement Image-to-Image Translation +1

19 May 2021

Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks

shinshoji01/Style-Restricted_GAN 17 May 2021

Unpaired image-to-image translation using Generative Adversarial Networks (GAN) is successful in converting images among multiple domains.

Image-to-Image Translation

17 May 2021

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation

VLL-HD/conditional_INNs 5 May 2021

We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images.

Colorization Image-to-Image Translation

05 May 2021

A Two-stage Deep Network for High Dynamic Range Image Reconstruction

sharif-apu/twostageHDR_NTIRE21 19 Apr 2021

Notably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.

Denoising Image Enhancement +3

19 Apr 2021

Dual Contrastive Learning for Unsupervised Image-to-Image Translation

JunlinHan/DCLGAN 15 Apr 2021

Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data.

Unsupervised Image-To-Image Translation

15 Apr 2021

Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis

Mukosame/Anime2Sketch 12 Apr 2021

In this paper, we explore the open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of that class are missing in the training data.

Domain Adaptation Image-to-Image Translation +1

12 Apr 2021

Multi-View Image-to-Image Translation Supervised by 3D Pose

sony-si/MultiView-Img2Img 12 Apr 2021

Experimental results on the CMU-Panoptic dataset demonstrate the effectiveness of the suggested framework in generating photo-realistic images of persons with new poses that are more consistent across all views in comparison to a standard Image-to-Image baseline.

Image-to-Image Translation

12 Apr 2021