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 without code

High Resolution Solar Image Generation using Generative Adversarial Networks

7 Jun 2021

For generating high resolution solar images we use the Pix2PixHD and Pix2Pix algorithms.

Image-to-Image Translation

Few-Shot Unsupervised Image-to-Image Translation on complex scenes

7 Jun 2021

Moreover, we propose a way to adapt the FUNIT framework in order to leverage the power of object detection that one can see in other methods.

Object Detection Unsupervised Image-To-Image Translation

CAFLOW: Conditional Autoregressive Flows

4 Jun 2021

We model the conditional distribution of the latent encodings by modeling the auto-regressive distributions with an efficient multi-scale normalizing flow, where each conditioning factor affects image synthesis at its respective resolution scale.

Image-to-Image Translation

Self-Supervised Learning of Domain Invariant Features for Depth Estimation

4 Jun 2021

Specifically, we extend self-supervised learning from traditional representation learning, which works on images from a single domain, to domain invariant representation learning, which works on images from two different domains by utilizing an image-to-image translation network.

Depth Estimation Domain Adaptation +4

Z2P: Instant Rendering of Point Clouds

30 May 2021

Furthermore, splatting techniques result in holes and overlaps, whereas mesh reconstruction is particularly challenging, especially in the cases of thin surfaces and sheets.

Image-to-Image Translation

MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation

28 May 2021

While attention-based transformer networks achieve unparalleled success in nearly all language tasks, the large number of tokens coupled with the quadratic activation memory usage makes them prohibitive for visual tasks.

Image-to-Image Translation

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks

27 May 2021

This work is the first to employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN) towards learning a forward and an inverse solution operator of partial differential equations (PDEs).

Image-to-Image Translation

Towards Unpaired Depth Enhancement and Super-Resolution in the Wild

25 May 2021

We consider an approach to depth map enhancement based on learning from unpaired data.

Depth Map Super-Resolution Image-to-Image Translation

Image to Image Translation : Generating maps from satellite images

19 May 2021

Generation of maps from satellite images is conventionally done by a range of tools.

Image-to-Image Translation

TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets

13 May 2021

In this paper, we propose a new transfer learning for I2I translation (TransferI2I).

Image-to-Image Translation Transfer Learning