Papers with Code · CC BY-SA 4.0

Fundus to Angiography Generation

Image-to-Image Translation › Fundus to Angiography Generation 9 평가 기록 1 datasets

Generating Retinal Fluorescein Angiography from Retinal Fundus Image using Generative Adversarial Networks.

논문

Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks

2007.09191 2020-07-17 이 페이지의 평가 3건

FID: 20.7Kernel Inception Distance: 0.00392

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography

2005.05267 2020-05-11 이 페이지의 평가 1건

FID: 30.3Kernel Inception Distance: 0.00184

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

1711.11585 2017-11-30 이 페이지의 평가 1건

FID: 42.8Kernel Inception Distance: 0.00258

Image-to-Image Translation with Conditional Adversarial Networks

1611.07004 2016-11-21 이 페이지의 평가 1건

FID: 48.6

StarGAN v2: Diverse Image Synthesis for Multiple Domains

1912.01865 2019-12-04 이 페이지의 평가 1건

FID: 27.7Kernel Inception Distance: 0.00118

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

1907.10830 2019-07-25 이 페이지의 평가 1건

FID: 24.5Kernel Inception Distance: 0.00131

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

2104.06757 2021-04-14 이 페이지의 평가 1건

FID: 17.3Kernel Inception Distance: 0.00053