GCNet VS ObstructionRemoval

Compare GCNet vs ObstructionRemoval and see what are their differences.

GCNet

Single Image Reflection Removal based on GAN with Gradient Constraint (GCNet) (by ryo-abiko)

ObstructionRemoval

[CVPR 2020] Learning to See Through Obstructions (by alex04072000)
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GCNet ObstructionRemoval
1 1
21 994
- -
10.0 0.0
over 4 years ago over 2 years ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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GCNet

Posts with mentions or reviews of GCNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-13.
  • Remove Reflections from Cars
    3 projects | /r/MLQuestions | 13 Oct 2021
    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.

ObstructionRemoval

Posts with mentions or reviews of ObstructionRemoval. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-13.
  • Remove Reflections from Cars
    3 projects | /r/MLQuestions | 13 Oct 2021
    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.

What are some alternatives?

When comparing GCNet and ObstructionRemoval you can also consider the following projects:

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