Search Results for author: Yash Sanghvi

Found 7 papers, 3 papers with code

Structured Kernel Estimation for Photon-Limited Deconvolution

1 code implementation CVPR 2023 Yash Sanghvi, Zhiyuan Mao, Stanley H. Chan

By modeling the blur kernel using a low-dimensional representation with the key points on the motion trajectory, we significantly reduce the search space and improve the regularity of the kernel estimation problem.

Image Restoration

Photon Limited Non-Blind Deblurring Using Algorithm Unrolling

1 code implementation28 Oct 2021 Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

Image deblurring in photon-limited conditions is ubiquitous in a variety of low-light applications such as photography, microscopy, and astronomy.

Astronomy Deblurring +2

Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel Estimation

1 code implementation31 Jul 2022 Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao, Stanley H. Chan

When the noise is strong, these networks fail to simultaneously deblur and denoise; (3) While iterative schemes are known to be robust in the classical frameworks, they are seldom considered in deep neural networks because it requires a differentiable non-blind solver.

Image Restoration

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement

no code implementations9 Nov 2021 Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

Specifically, we model depth formation as a combined process of signal-dependent noise addition and non-uniform log-based quantization.

Graph Learning Image Denoising +1

Photon-Limited Deblurring using Algorithm Unrolling

no code implementations NeurIPS Workshop Deep_Invers 2021 Yash Sanghvi, Abhiram Gnanasambandam, Stanley Chan

Image deblurring in a photon-limited condition is ubiquitous in a variety of low-light applications such as photography, microscopy and astronomy.

Astronomy Deblurring +2

The Secrets of Non-Blind Poisson Deconvolution

no code implementations6 Sep 2023 Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan

Non-blind image deconvolution has been studied for several decades but most of the existing work focuses on blur instead of noise.

Image Deconvolution

Kernel Diffusion: An Alternate Approach to Blind Deconvolution

no code implementations4 Dec 2023 Yash Sanghvi, Yiheng Chi, Stanley H. Chan

Blind deconvolution problems are severely ill-posed because neither the underlying signal nor the forward operator are not known exactly.

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