HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Deblurring On Realblur R Trained On Gopro

평가 지표

PSNR (sRGB)

SSIM (sRGB)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	PSNR (sRGB)	SSIM (sRGB)	Paper Title	Repository
LaKDNet	36.08	0.955	Revisiting Image Deblurring with an Efficient ConvNet
Pan et al	34.01	0.916	Blind Image Deblurring Using Dark Channel Prior	-
Xu et al	-	0.937	Unnatural L0 Sparse Representation for Natural Image Deblurring	-
MPRNet	35.99	0.952	Multi-Stage Progressive Image Restoration
SRN	-	0.947	Scale-recurrent Network for Deep Image Deblurring
ALGNet	36.35	0.961	Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
AdaRevD	36.53	0.957	AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
DMPHN	-	0.948	Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
Restormer	36.19	0.957	Restormer: Efficient Transformer for High-Resolution Image Restoration
DeblurDiNAT-L	36.09	0.955	DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
Zhang et al	-	0.947	Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks
Nah et al	-	0.841	Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
DeblurGAN-v2	-	0.944	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Uformer-B	36.22	0.957	Uformer: A General U-Shaped Transformer for Image Restoration
DeblurGAN	-	0.903	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Hu et al	33.67	0.916	Deblurring Low-light Images with Light Streaks	-
MAXIM	35.78	-	MAXIM: Multi-Axis MLP for Image Processing
DeepRFT	36.11	0.955	Intriguing Findings of Frequency Selection for Image Deblurring
MSSNet	35.93	0.953	MSSNet: Multi-Scale-Stage Network for Single Image Deblurring

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