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Image Super Resolution On Ffhq 256 X 256 4X

Metrics

FID
MS-SSIM
PSNR
SSIM

Results

Performance results of various models on this benchmark

Paper Title
BDPM5.71-30.050.864Binary Diffusion Probabilistic Model
HiFaceGAN5.360.97128.650.816HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
CAGFace74.430.95827.420.816Component Attention Guided Face Super-Resolution Network: CAGFace
BRGM--24.160.70Bayesian Image Reconstruction using Deep Generative Models
EnhanceNet116.380.89723.640.701EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
SRCNN147.210.90023.120.688Image Super-Resolution Using Deep Convolutional Networks
EDSR129.140.90122.470.706Enhanced Deep Residual Networks for Single Image Super-Resolution
FSRCNN139.780.93022.450.709Accelerating the Super-Resolution Convolutional Neural Network
SRFBN132.590.89521.960.693Feedback Network for Image Super-Resolution
SRGAN156.070.75717.570.415Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
PULSE--15.740.37PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
ESRGAN166.360.74715.430.267ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
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Image Super Resolution On Ffhq 256 X 256 4X | SOTA | HyperAI