Search Results for author: Akshat Dave

Found 4 papers, 2 papers with code

PANDORA: Polarization-Aided Neural Decomposition Of Radiance

no code implementations25 Mar 2022 Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan

Reconstructing an object's geometry and appearance from multiple images, also known as inverse rendering, is a fundamental problem in computer graphics and vision.

Novel View Synthesis

Thermal Image Processing via Physics-Inspired Deep Networks

1 code implementation18 Aug 2021 Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard Baraniuk

We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation.

Denoising Sensor Modeling +1

Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior

1 code implementation27 Feb 2018 Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra

On the other hand, a more flexible approach would be to learn a deep generative model once and then use it as a signal prior for solving various inverse problems.

Compressive Image Recovery Using Recurrent Generative Model

no code implementations13 Dec 2016 Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra

Reconstruction of signals from compressively sensed measurements is an ill-posed problem.

Image Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.