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20172023
most citedHDR image reconstruction from a single exposure using deep CNNs

617 citations · 964 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.CV2023★ 6 cited

Robust estimation of exposure ratios in multi-exposure image stacks

Param Hanji, Rafał K. Mantiuk

Merging multi-exposure image stacks into a high dynamic range (HDR) image requires knowledge of accurate exposure times. When exposure times are inaccurate, for example, when they…

cs.CV2023

Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views

Hanxue Liang, Tianhao Wu, Param Hanji +4

Neural view synthesis (NVS) is one of the most successful techniques for synthesizing free viewpoint videos, capable of achieving high fidelity from only a sparse set of captured i…

cs.CV2022★ 10 cited

Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping

Aamir Mustafa, Param Hanji, Rafal K. Mantiuk

Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each repre…

cs.CV2021

How to cheat with metrics in single-image HDR reconstruction

Gabriel Eilertsen, Saghi Hajisharif, Param Hanji +3

Single-image high dynamic range (SI-HDR) reconstruction has recently emerged as a problem well-suited for deep learning methods. Each successive technique demonstrates an improveme…

cs.CV2020

Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation

Aamir Mustafa, Rafal K. Mantiuk

Scarcity of labeled data has motivated the development of semi-supervised learning methods, which learn from large portions of unlabeled data alongside a few labeled samples. Consi…

cs.CV2019★ 31 cited

Single-frame Regularization for Temporally Stable CNNs

Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger

Convolutional neural networks (CNNs) can model complicated non-linear relations between images. However, they are notoriously sensitive to small changes in the input. Most CNNs tra…

cs.CV2017★ 617 cited

HDR image reconstruction from a single exposure using deep CNNs

Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2

Camera sensors can only capture a limited range of luminance simultaneously, and in order to create high dynamic range (HDR) images a set of different exposures are typically combi…

cs.CV2017★ 133 cited

Towards a quality metric for dense light fields

Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin +4

Light fields become a popular representation of three dimensional scenes, and there is interest in their processing, resampling, and compression. As those operations often result i…