2 citations · 7 across the 8 of their papers we have counts for
10 papers
Text-guided Explorable Image Super-resolution
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli
In this paper, we introduce the problem of zero-shot text-guided exploration of the solutions to open-domain image super-resolution. Our goal is to allow users to explore diverse,…
Evaluating Adversarial Robustness of Low dose CT Recovery
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Droege +1
Low dose computed tomography (CT) acquisition using reduced radiation or sparse angle measurements is recommended to decrease the harmful effects of X-ray radiation. Recent works s…
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski +2
Following their success in visual recognition tasks, Vision Transformers(ViTs) are being increasingly employed for image restoration. As a few recent works claim that ViTs for imag…
On Adversarial Robustness of Deep Image Deblurring
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Moeller
Recent approaches employ deep learning-based solutions for the recovery of a sharp image from its blurry observation. This paper introduces adversarial attacks against deep learnin…
Light Field Implicit Representation for Flexible Resolution Reconstruction
Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb
Inspired by the recent advances in implicitly representing signals with trained neural networks, we aim to learn a continuous representation for narrow-baseline 4D light fields. We…
A Generative Model for Generic Light Field Reconstruction
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Goerlitz +2
Recently deep generative models have achieved impressive progress in modeling the distribution of training data. In this work, we present for the first time a generative model for…
A Bit Too Much? High Speed Imaging from Sparse Photon Counts
Paramanand Chandramouli, Samuel Burri, Claudio Bruschini +2
Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly us…
Reflection Separation and Deblurring of Plenoptic Images
Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro
In this paper, we address the problem of reflection removal and deblurring from a single image captured by a plenoptic camera. We develop a two-stage approach to recover the scene…
Motion Deblurring in the Wild
Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro
The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown. Moreover, when pictures are taken in the wild, this task becomes even more chal…
Motion Deblurring for Plenoptic Images
Paramanand Chandramouli, Paolo Favaro, Daniele Perrone
We address for the first time the issue of motion blur in light field images captured from plenoptic cameras. We propose a solution to the estimation of a sharp high resolution sce…