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

21
31 May 2021

GANs Can Play Lottery Tickets Too

VITA-Group/GAN-LTH ICLR 2021

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

Image-to-Image Translation

11
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

5
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

181
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

4
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

38
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

6
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

39
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

1,204
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

1
12 Apr 2021