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  • Jain, Harshil; Patil, Rohit; Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-11)
    Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration problems. The training data-based methods ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-11)
    Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These methods are unsupervised and are used to ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input (style and content) images. An efficient strategy would be to define an object map between ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider the problem by performing style transfer ...

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