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홈플랫폼문서뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Image Super Resolution On Set14 4X Upscaling

평가 지표

PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

Paper TitleRepository
DRCT-L29.540.8025DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†29.510.8019HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Hi-IR-L29.490.8041Hierarchical Information Flow for Generalized Efficient Image Restoration-
HAT-L29.470.8015Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR29.44-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT29.400.8003DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT29.380.8001Activating More Pixels in Image Super-Resolution Transformer
CPAT+29.360.7996Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
SwinFIR29.360.7993SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT29.340.7991Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
CFAT29.300.7985CFAT: Unleashing Triangular Windows for Image Super-resolution-
DAT+29.290.7983Dual Aggregation Transformer for Image Super-Resolution
MaIR+29.280.7974MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
RGT+29.280.7979Recursive Generalization Transformer for Image Super-Resolution
ATD29.240.7974Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
DAT29.230.7973Dual Aggregation Transformer for Image Super-Resolution
RGT29.230.7972Recursive Generalization Transformer for Image Super-Resolution
MaIR29.20.7958MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
Contrast29.200.7973--
MambaIR29.200.7961MambaIR: A Simple Baseline for Image Restoration with State-Space Model
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