Remove Reflections from Cars

• ObstructionRemoval

  1 994 0.0 Python

  [CVPR 2020] Learning to See Through Obstructions

Obstruction Removal (https://github.com/alex04072000/ObstructionRemoval)This method takes multiple frames into account and tries to separate the reflection layer from the foreground layer. Running these on car images I found the results disappointing. The reflections were not removed. The only change I saw was a reduction in white balance. There was a certain reduction of brightness in some areas, but for the problem we face, this method does not help at all. Also this method requires multiple frames.

• GCNet

  1 21 10.0 Python

  Single Image Reflection Removal based on GAN with Gradient Constraint (GCNet)

GCNET(https://github.com/ryo-abiko/GCNet) This method uses a GAN to remove reflections from single images. This method provided similar results to Obstruction removal. It reduced brightness in some areas. I feel this technique is more catered to removing white light reflections from the glass. I tried passing in only the car window images to this network. The reflections in the glass were still present. A few highlighted areas had reduced brightness.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• ERRNet

  1 244 3.0 Python

  Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019)

ERRNet (https://github.com/Vandermode/ERRNet) This model was trained on single image pairs with reflective images and GT images. Running some samples from our dataset provided results that were not promising. Most of the reflections were still present.

Suggest a related project