6 papers
DeepObjStyle: Deep Object-based Photo Style Transfer
Indra Deep Mastan, Shanmuganathan Raman
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…
DILIE: Deep Internal Learning for Image Enhancement
Indra Deep Mastan, Shanmuganathan Raman
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 t…
DeepCFL: Deep Contextual Features Learning from a Single Image
Indra Deep Mastan, Shanmuganathan Raman
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…
Blind Motion Deblurring through SinGAN Architecture
Harshil Jain, Rohit Patil, Indra Deep Mastan +1
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…
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting
Indra Deep Mastan, Shanmuganathan Raman
Recently, there is a vast interest in developing methods which are independent of the training samples such as deep image prior, zero-shot learning, and internal learning. The meth…
Multi-level Encoder-Decoder Architectures for Image Restoration
Indra Deep Mastan, Shanmuganathan Raman
Many real-world solutions for image restoration are learning-free and based on handcrafted image priors such as self-similarity. Recently, deep-learning methods that use training d…