Alternatives and similar repositories for rain-rendering

Users that are interested in rain-rendering are comparing it to the libraries listed below

• MartinHahner / FoggySynscapes
  Semantic Understanding of Foggy Scenes with Purely Synthetic Data
  ☆64Updated 3 years ago
• zhengziqiang / ForkGAN
  ForkGAN: Seeing into the rainy night. ECCV 2020 (oral). A task-agnostic image translation framework that can boost multiple vision tasks …
  ☆128Updated 2 years ago
• ghaiszaher / Foggy-CycleGAN
  Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Condi…
  ☆82Updated 8 months ago
• sakaridis / fog_simulation-SFSU_synthetic
  ☆123Updated 7 years ago
• vnmusat / multi-weather-city
  Official page of the Multi-weather city dataset.
  ☆36Updated 3 years ago
• sakaridis / fog_simulation_DBF
  ☆28Updated 6 years ago
• w2kun / RNW
  This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (I…
  ☆91Updated 4 years ago
• ricky40403 / ROLE
  Raindrop on lens effect
  ☆42Updated 6 years ago
• Attila94 / CIConv
  Original code for "Zero-Shot Day-Night Domain Adaptation with a Physics Prior"
  ☆76Updated 3 years ago
• SysCV / shift-dev
  SHIFT Dataset DevKit - CVPR2022
  ☆113Updated last year
• princeton-computational-imaging / SeeingThroughFog
  ☆349Updated 5 months ago
• DreamtaleCore / RaindropRmv
  ☆27Updated 4 years ago
• aasharma90 / NightTime_Datasets
  Repository containing a list of labelled/unlabelled nighttime datasets
  ☆69Updated 2 years ago
• LCAD-UFES / publications-arruda-ijcnn-2019
  Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
  ☆70Updated 6 years ago
• LINA-lln / ADDS-DepthNet
  [ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
  ☆67Updated 3 years ago
• brdav / refign
  Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023]
  ☆87Updated 2 years ago
• Evocargo / RaindropsOnWindshield
  A novel dataset for raindrops detection and segmentation
  ☆59Updated 3 years ago
• W-zx-Y / DANNet
  (CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
  ☆125Updated 3 years ago
• comeonyang / Depth-Estimation-DCNF
  Depth estimation of a single RGB image based on deep convolutional neural fields.
  ☆19Updated 8 years ago
• sakaridis / MGCDA
  Domain Adaptation for Semantic Segmentation at Nighttime
  ☆32Updated 3 years ago
• hmhemu / RA-Depth
  [ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
  ☆72Updated 3 years ago
• tillvolkmann / cyclegan-day2night
  CycleGAN adaptation for day-to-night domain transfer of driving-related scenes.
  ☆14Updated 6 years ago
• igor-morawski / NOD
  NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
  ☆33Updated 4 years ago
• xdeng7 / NightLab
  ☆30Updated 3 years ago
• Songforrr / RainDS_CCN
  Implementation of "Removing Raindrops and Rain Streaks in One Go"
  ☆39Updated 4 years ago
• seawee1 / ForkGAN-pytorch
  A PyTorch port of ForkGAN featuring neat little extras like multi-gpu training, automatic mixed precision, instance-level losses for impr…
  ☆11Updated 4 years ago
• Jumponthemoon / AllWeatherNet
  [ICPR Best Paper]:"AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions"
  ☆61Updated 6 months ago
• fingerk28 / Two-stage-Knowledge-For-Multiple-Adverse-Weather-Removal
  [CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Uni…
  ☆159Updated 3 years ago
• KevinJ-Huang / Stereo-Low-Light
  TMM 2022 (Official Implementation of "Low-light Stereo Image Enhancement")
  ☆14Updated 3 years ago
• mohammed-amr / detectInBlur
  Code for the CVPR 2021 paper "Improved Handling of Motion Blur in Online Object Detection"
  ☆24Updated 3 years ago