Alternatives and similar repositories for ZeroShotDayNightDA

Users that are interested in ZeroShotDayNightDA are comparing it to the libraries listed below

• Attila94 / CIConv
  Original code for "Zero-Shot Day-Night Domain Adaptation with a Physics Prior"
  ☆74Updated 2 years ago
• Jumponthemoon / AllWeatherNet
  [ICPR Best Paper]:"AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions"
  ☆46Updated last month
• jinlong17 / LightDiff
  About [CVPR 2024] The official implementation of paper " Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light En…
  ☆69Updated 9 months ago
• XiaRho / CMDA
  [ICCV23] Official Implementation of CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
  ☆32Updated 7 months ago
• Dong-Huo / RGB-T-Glass-Segmentation
  ☆34Updated 6 months ago
• LidongWang-26 / DiffV2IR
  [Arxiv 2025] DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding
  ☆28Updated last month
• NiFangBaAGe / DATTT
  [CVPR 2024] Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
  ☆26Updated 2 months ago
• palmdong / SMMCL
  [WACV 2024] Understanding Dark Scenes by Contrasting Multi-Modal Observations
  ☆13Updated 4 months ago
• MCG-NKU / SERE
  Exploring Feature Self-relation for Self-supervised Transformer (TPAMI 2023)
  ☆21Updated 2 months ago
• zkawfanx / Atlantis
  Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion (CVPR2024, Highlight)
  ☆103Updated 9 months ago
• HPLQAQ / SAM-Deblur
  Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
  ☆31Updated last year
• astra-vision / GuidedDisent
  [TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.
  ☆27Updated 2 years ago
• Mhaiyang / CVPR2022_PGSNet
  ☆29Updated last year
• lep990816 / CrossHomo
  ☆16Updated last year
• hyzhouboy / UCDA-Flow
  "Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow", accepted by CVPR 2023
  ☆13Updated 2 years ago
• fanjunkai1 / DVD
  [CVPR 2024] Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
  ☆5Updated last month
• w2kun / DCDepth
  The official repository of the paper "DCDepth: Progressive Monocular Depth Estimationin in Discrete Cosine Domain" (NeurIPS-2024)
  ☆30Updated 4 months ago
• yanzq95 / SPFNet
  Scene Prior Filtering for Depth Map Super-Resolution
  ☆27Updated 8 months ago
• zqcrafts / FouriDown
  [NeurIPS 2023] FouriDown: Factoring Down-Sampling into Shuffling and Superposing
  ☆16Updated last year
• chaowentao / cv-arxiv-daily
  ☆28Updated 6 months ago
• IVRL / VTAGML
  (ICCV 2023) Vision Transformer Adapters for Generalizable Multitask Learning
  ☆19Updated last year
• Liu-haoyue / NER-Net
  Official repository for the CVPR 2024 paper, "Seeing Motion During Nighttime with Event Camera”
  ☆35Updated 3 months ago
• Adonis-galaxy / WorDepth
  Official implementation of "WorDepth: Variational Language Prior for Monocular Depth Estimation"
  ☆39Updated 5 months ago
• timbroed / MUSES
  [ECCV 2024] SDK for MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
  ☆36Updated 3 months ago
• chxy95 / GenLV
  ACM MM2024 - Learning A Low-Level Vision Generalist via Visual Task Prompt
  ☆31Updated 10 months ago
• jamycheung / Trans4PASS
  Repository of Trans4PASS (accepted to CVPR2022)
  ☆92Updated 2 years ago
• vignywang / SAMFeat
  The official implementation of “Segment Anything Model is a Good Teacher for Local Feature Learning”.
  ☆116Updated last month
• Owen718 / ECCV22-Perceiving-and-Modeling-Density-for-Image-Dehazing
  ECCV'22 Oral | Perceiving and Modeling Density for Single Image Dehazing.
  ☆58Updated 2 years ago
• zslzx / SAMFLow
  A repository of AAAI 2024 paper 'SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model'
  ☆15Updated last year
• MarcBotet / hamlet
  Source code for "To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation", ICCV 2023
  ☆48Updated last year