HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Fundus to Angiography Generation
Fundus To Angiography Generation On Fundus
Fundus To Angiography Generation On Fundus
Metrics
FID
Kernel Inception Distance
Results
Performance results of various models on this benchmark
Columns
Model Name
FID
Kernel Inception Distance
Paper Title
pix2pix
48.6
-
Image-to-Image Translation with Conditional Adversarial Networks
Attention2Angio w/o Perceptual Loss + Feature Matching Loss
47.5
0.00595
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
pix2pixHD
42.8
0.00258
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Fundus2Angio
30.3
0.00184
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
StarGAN-v2
27.7
0.00118
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Attention2Angio
24.6
0.00087
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
U-GAT-IT
24.5
0.00131
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Attention2Angio w/o Perceptual Loss
20.7
0.00392
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
VTGAN
17.3
0.00053
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
0 of 9 row(s) selected.
Previous
Next
Fundus To Angiography Generation On Fundus | SOTA | HyperAI