HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
HyperAI초신경

Image Super Resolution On Urban100 4X

평가 지표

PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
PSNR
SSIM
Paper TitleRepository
BSRN26.030.7835Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network
SRNTT-l225.5-Image Super-Resolution by Neural Texture Transfer
NLRN25.790.7729Non-Local Recurrent Network for Image Restoration
DBPN-RES-MR64-327.080.814Deep Back-Projection Networks for Single Image Super-resolution
HAT_FIR28.43-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
IDN25.410.7632Fast and Accurate Single Image Super-Resolution via Information Distillation Network
LapSRN25.210.756Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
HAN+27.020.8131Single Image Super-Resolution via a Holistic Attention Network
HBPN27.30.818Hierarchical Back Projection Network for Image Super-Resolution
SwinIR27.450.8254 SwinIR: Image Restoration Using Swin Transformer
CSNLN27.220.8168Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
SRGAN + Residual-in-Residual Dense Block27.030.8153ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
SwinIR (DUKD)26.430.7972Data Upcycling Knowledge Distillation for Image Super-Resolution
PixelRL-SR23.280.7517Multi-Step Reinforcement Learning for Single Image Super-Resolution
SwinOIR26.740.806Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
HMA†28.690.8512HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
RDN26.610.8028Residual Dense Network for Image Super-Resolution
MWCNN26.270.7890Multi-level Wavelet-CNN for Image Restoration
MaIR+27.890.8336MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration-
ENet-E25.660.7703EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
0 of 64 row(s) selected.