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Image-to-Image Translation

67 papers with code · Computer Vision
Subtask of Image Generation

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.

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Greatest papers with code

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

ICCV 2017 tensorflow/models

Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.

MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION STYLE TRANSFER UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Learning from Simulated and Unsupervised Images through Adversarial Training

CVPR 2017 tensorflow/models

With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations.

GAZE ESTIMATION HAND POSE ESTIMATION IMAGE-TO-IMAGE TRANSLATION

Image-to-Image Translation with Conditional Adversarial Networks

CVPR 2017 tensorflow/models

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.

Semantic Image Synthesis with Spatially-Adaptive Normalization

CVPR 2019 NVlabs/SPADE

We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout.

IMAGE-TO-IMAGE TRANSLATION

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

CVPR 2018 yunjey/StarGAN

To address this limitation, we propose StarGAN, a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model.

 SOTA for Image-to-Image Translation on RaFD (using extra training data)

IMAGE-TO-IMAGE TRANSLATION

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

CVPR 2018 NVIDIA/pix2pixHD

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).

CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Multimodal Unsupervised Image-to-Image Translation

ECCV 2018 nvlabs/MUNIT

To translate an image to another domain, we recombine its content code with a random style code sampled from the style space of the target domain.

MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Unsupervised Cross-Domain Image Generation

7 Nov 2016kaonashi-tyc/zi2zi

We study the problem of transferring a sample in one domain to an analog sample in another domain.

DOMAIN ADAPTATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

Unsupervised Image-to-Image Translation Networks

NeurIPS 2017 mingyuliutw/UNIT

Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains.

DOMAIN ADAPTATION MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain

arXiv 2019 youyuge34/PI-REC

We propose a universal image reconstruction method to represent detailed images purely from binary sparse edge and flat color domain.

IMAGE RECONSTRUCTION IMAGE-TO-IMAGE TRANSLATION