Average PSNR (dB): 23.75SSIM: 0.8140
Papers with Code · CC BY-SA 4.0
Image Restoration
Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).
<span class="description-source">Source: Blind Image Restoration without Prior Knowledge </span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.
Dataset기록된 모델 예시MetricPaperCode
데이터셋
75개논문
Average PSNR (dB): 26.92SSIM: 0.8559
Average PSNR (dB): 25.37SSIM: 0.8335
Average PSNR (dB): 25.97SSIM: 0.8474
Average PSNR (dB): 26.96SSIM: 0.8626
Average PSNR (dB): 25.47SSIM: 0.8555
Average PSNR (dB): 26.33SSIM: 0.8605
Average PSNR (dB): 28.72SSIM: 0.8828
Average PSNR (dB): 25.90SSIM: 0.8499
Average PSNR (dB): 26.99SSIM: 0.8646
Average PSNR (dB): 24.13SSIM: 0.7964
Average PSNR (dB): 27.64SSIM: 0.8600
라이브러리
Papers with Code 리더보드 row에 연결된 구현 저장소입니다.
하위 태스크
JA
JPEG Artifact Correction
BS
Blind Super-Resolution
SR
Spectral Reconstruction
UI
Unified Image Restoration
FR
Flare Removal
5B
5-Degradation Blind All-in-One Image Restoration
SI
Single Image Desnowing
UI
Underwater Image Restoration
D
Demosaicking
IC
Image Compression Artifact Reduction
JA
JPEG Artifact Removal
SS
Spectral Super-Resolution