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Single image calibration using knowledge distillation approaches
Although recent deep learning-based calibration methods can predict extrinsic and intrinsic camera parameters from a single image, their generalization remains limited by the number and distribution of training data samples.
Efficient texture-aware multi-GAN for image inpainting
Recent GAN-based (Generative adversarial networks) inpainting methods show remarkable improvements and generate plausible images using multi-stage networks or Contextual Attention Modules (CAM).
Learning to Inpaint by Progressively Growing the Mask Regions
This work introduces a new curriculum-style training approach in the context of image inpainting.
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