HyperAIHyperAI초신경
홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
한국어
HyperAIHyperAI초신경
  1. 홈
  2. SOTA
  3. 이미지 희석 제거
  4. Image Dehazing On Haze4K

Image Dehazing On Haze4K

평가 지표

PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
PSNR
SSIM
Paper TitleRepository
CasDyF-Net35.730.99CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
GDNet23.290.93GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
FFA-Net26.960.95FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
PMNet33.490.98Perceiving and Modeling Density is All You Need for Image Dehazing
MSBDN22.990.85Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
FSNet34.120.99Image Restoration via Frequency Selection-
DMT-Net28.530.96From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
ConvIR34.500.99Revitalizing Convolutional Network for Image Restoration-
DEA-Net-CR34.250.9885DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
gUNet-D33.520.988Rethinking Performance Gains in Image Dehazing Networks
MixDehazeNet35.640.992MixDehazeNet : Mix Structure Block For Image Dehazing Network
0 of 11 row(s) selected.
HyperAI

학습, 이해, 실천, 커뮤니티와 함께 인공지능의 미래를 구축하다

한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

링크

TVM 한국어Apache TVMOpenBayes

© HyperAI초신경

TwitterBilibili