Search Results for author: Paramanand Chandramouli

Found 11 papers, 2 papers with code

Text-guided Explorable Image Super-resolution

no code implementations2 Mar 2024 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.

Image Super-Resolution

Evaluating Adversarial Robustness of Low dose CT Recovery

1 code implementation18 Feb 2024 Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Droege, Michael Moeller

Both classical approaches and deep networks are affected by such attacks leading to changes in the visual appearance of localized lesions, for extremely small perturbations.

Adversarial Robustness Computed Tomography (CT)

LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models

no code implementations5 Oct 2022 Paramanand Chandramouli, Kanchana Vaishnavi Gandikota

Our approach exploits recent Latent Diffusion Models (LDM) for text to image generation to achieve zero-shot text guided manipulation.

Image Manipulation Style Transfer +1

On Adversarial Robustness of Deep Image Deblurring

no code implementations5 Oct 2022 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.

Adversarial Robustness Deblurring +1

Light Field Implicit Representation for Flexible Resolution Reconstruction

no code implementations30 Nov 2021 Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb

consists of a feature extractor and a decoder which are trained on a dataset of light field patches.

Decoder

A Generative Model for Generic Light Field Reconstruction

no code implementations13 May 2020 Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Goerlitz, Andreas Kolb, Michael Moeller

We develop a generative model conditioned on the central view of the light field and incorporate this as a prior in an energy minimization framework to address diverse light field reconstruction tasks.

Super-Resolution

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

1 code implementation6 Nov 2018 Paramanand Chandramouli, Samuel Burri, Claudio Bruschini, Edoardo Charbon, Andreas Kolb

Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon.

Vocal Bursts Intensity Prediction

Reflection Separation and Deblurring of Plenoptic Images

no code implementations22 Aug 2017 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.

Deblurring Depth Estimation +1

Motion Deblurring in the Wild

no code implementations5 Jan 2017 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.

Deblurring Image Deblurring

Motion Deblurring for Plenoptic Images

no code implementations16 Aug 2014 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.

Deblurring

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