SOTAVerified

Image-to-Image Translation

Image-to-Image Translation is a task in computer vision and machine learning where the goal is to learn a mapping between an input image and an output image, such that the output image can be used to perform a specific task, such as style transfer, data augmentation, or image restoration.

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

Papers

Showing 110 of 1184 papers

TitleStatusHype
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image TranslationCode1
ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation0
Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology0
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images0
Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations0
Multi-Platform Methane Plume Detection via Model and Domain Adaptation0
Segmenting France Across Four CenturiesCode0
Cora: Correspondence-aware image editing using few step diffusionCode1
Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing0
Paired and Unpaired Image to Image Translation using Generative Adversarial Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DP-SIMS (ConvNext-L)mIoU76.3Unverified
2DP-GANmIoU73.6Unverified
3OASISmIoU69.3Unverified
4SPADE + SESAMEmIoU66Unverified
5CC-FPSEmIoU65.5Unverified
6SPADE + FFLmIoU64.2Unverified
7CC-FPSE-AUGmIoU63.1Unverified
8SPADEmIoU62.3Unverified
9SB-GANFID60.39Unverified
10pix2pixHDmIoU58.3Unverified