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Image Super Resolution On Bsd100 4X Upscaling

Metrics

PSNR
SSIM

Results

Performance results of various models on this benchmark

Model Name
PSNR
SSIM
Paper TitleRepository
HAT28.050.7534Activating More Pixels in Image Super-Resolution Transformer-
BSRN27.570.7353Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network-
ProSR27.79-A Fully Progressive Approach to Single-Image Super-Resolution-
DRCT-L28.160.7577DRCT: Saving Image Super-resolution away from Information Bottleneck-
SPSR25.5050.6576Structure-Preserving Super Resolution with Gradient Guidance-
ZSSR27.120.7211"Zero-Shot" Super-Resolution using Deep Internal Learning-
SRGAN25.160.6688Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network-
CSNLN27.80.7439Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining-
Manifold Simplification27.660.7380Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification-
SRResNet27.580.762Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network-
DRCT28.060.7533DRCT: Saving Image Super-resolution away from Information Bottleneck-
NLRN27.480.7306Non-Local Recurrent Network for Image Restoration-
IMDN27.56-Lightweight Image Super-Resolution with Information Multi-distillation Network-
Config (e)--One-to-many Approach for Improving Super-Resolution-
RDN27.720.7419Residual Dense Network for Image Super-Resolution-
CPAT+28.060.7532Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
RFN27.83-Progressive Perception-Oriented Network for Single Image Super-Resolution-
GMFN27.740.7421Gated Multiple Feedback Network for Image Super-Resolution-
WaveMixSR-V227.870.764WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency-
RL-CSC27.440.7302Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding-
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Image Super Resolution On Bsd100 4X Upscaling | SOTA | HyperAI