Projects Using Various Deep Learning Methods
- Super Resolution Using GANs
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- Colorizing B&W Images Using U-Net & Feature Loss Applications
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- Feature Loss inspired by Perceptual Losses for Real-Time Style Transfer and Super-Resolution. The idea here is that instead of using MSELoss on pixel values and a CrossEntropy loss for the Critic model, can we go deeper and compare the features displayed in the real image and the generated image. Let's discuss further:
Johnson, et al. “Perceptual Losses for Real-Time Style Transfer and Super-Resolution.” Computer Vision – ECCV 2016 Lecture Notes in Computer Science, 2016, pp. 694–711.
