연구동향 분석

불균일 안개 합성을 이용한 딥러닝 기반 안개 영상 깊이 추정

최영철 백지현 주광진 이동건 황경하 이승용 2022년

논문상세정보
인용/피인용
' 불균일 안개 합성을 이용한 딥러닝 기반 안개 영상 깊이 추정' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • deep learning
  • depthestimation
  • haze synthesis
  • non-homogeneous haze
  • 깊이 추정
  • 딥 러닝
  • 불균일 안개
  • 안개 합성
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,915 0

0.0%

' 불균일 안개 합성을 이용한 딥러닝 기반 안개 영상 깊이 추정' 의 참고문헌

  • 도메인 적응을 이용한 단일 파노라마 깊이 추정
    이종협 [2020]
  • 단노출 플래시 스마트폰 영상에서 저속 동조 영상 생성
    이종협 [2021]
  • Vision transformers for dense prediction
    Ranftl, R. [2021]
  • Vision meets robotics: The kitti dataset
  • Vision and the atmosphere
  • Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction
    Khamis, S. [2018]
  • Single image haze removal using dark channel prior
    He, K. [2010]
  • Single image dehazing
    FATTAL, R. [2008]
  • Sharingan : Combining synthetic and real data for unsupervised geometry estimation
    PNVR, K. [2020]
  • O-haze: a dehazing benchmark with real hazy and haze-free outdoor images
  • Non-homogeneous haze data synthesis based real-world image dehazing with enhancement-andrestoration fused CNNs
  • NHHAZE: An image dehazing benchmark with non-homogeneous hazy and haze-free images
  • Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
    Song, M. [2021]
  • MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
  • Make3d:Learning 3d scene structure from a single still image
  • Learning to recover 3d scene shape from a single image
    Yin, W. [2021]
  • Learning depth from single monocular images
  • Hitnet : Hierarchical iterative tile refinement network for real-time stereo matching
  • Digging into self-supervised monocular depth estimation
    Godard, C. [2019]
  • D-hazy: A dataset to evaluate quantitatively dehazing algorithms
    Ancuti, C. [2016]
  • Chromatic framework for vision in bad weather
  • Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive MultiResolution Merging
  • Benchmarking single-image dehazing and beyond
    Li, B. [2018]
  • Benchmarking single-image dehazing and beyond
    Li, Boyi [2018]