HyperAI초신경

Image Super Resolution On Bsd100 4X Upscaling

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PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
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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