% CVPR 2023 Paper Template
% based on the CVPR template provided by Ming-Ming Cheng (https://github.com/MCG-NKU/CVPR_Template)
% modified and extended by Stefan Roth (stefan.roth@NOSPAMtu-darmstadt.de)

\documentclass[10pt,twocolumn,letterpaper]{article}

%%%%%%%%% PAPER TYPE  - PLEASE UPDATE FOR FINAL VERSION
% \usepackage[review]{cvpr}      % To produce the REVIEW version
\usepackage{cvpr}              % To produce the CAMERA-READY version
%\usepackage[pagenumbers]{cvpr} % To force page numbers, e.g. for an arXiv version

\usepackage[accsupp]{axessibility}  % Improves PDF readability for those with disabilities.

% Include other packages here, before hyperref.
\usepackage[normalem]{ulem}
\usepackage{graphicx}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{booktabs}
\usepackage{xcolor}
\usepackage{comment}
\usepackage{enumitem}
\newcommand{\todo}[1]{{\color{red}#1}}

\newcommand{\benchmark}{WireSegHR}

% It is strongly recommended to use hyperref, especially for the review version.
% hyperref with option pagebackref eases the reviewers' job.
% Please disable hyperref *only* if you encounter grave issues, e.g. with the
% file validation for the camera-ready version.
%
% If you comment hyperref and then uncomment it, you should delete
% ReviewTempalte.aux before re-running LaTeX.
% (Or just hit 'q' on the first LaTeX run, let it finish, and you
%  should be clear).
\usepackage[pagebackref,breaklinks,colorlinks]{hyperref}


% Support for easy cross-referencing
\usepackage[capitalize]{cleveref}
\crefname{section}{Sec.}{Secs.}
\Crefname{section}{Section}{Sections}
\Crefname{table}{Table}{Tables}
\crefname{table}{Tab.}{Tabs.}


%%%%%%%%% PAPER ID  - PLEASE UPDATE
\def\cvprPaperID{699} % *** Enter the CVPR Paper ID here
\def\confName{CVPR}
\def\confYear{2023}

\begin{document}

%%%%%%%%% TITLE - PLEASE UPDATE
% \title{Automatic Wire Segmentation for Inpainting}
% \title{Segmentation to the Extreme: \\A Large-Scale Wire Segmentation Dataset and a Pilot Study}
%\title{Segmentation to the Extreme: \\A Large-Scale High-Resolution Wire Segmentation Dataset and a Pilot Study}
%\title{WINE: WIre NEver Appeared in Your Photos}
\title{Automatic High Resolution Wire Segmentation and Removal}

\author{Mang Tik Chiu$^{1,2}$, Xuaner Zhang$^2$, Zijun Wei$^{2}$, Yuqian Zhou$^2$, Eli Shechtman$^2$, \\Connelly Barnes$^{2}$, Zhe Lin$^2$, Florian Kainz$^2$, Sohrab Amirghodsi$^2$, Humphrey Shi$^{1,3}$ 
\\
{\small $^1$UIUC, $^2$Adobe, $^3$University of Oregon}\\
{\small \textbf{\url{https://github.com/adobe-research/auto-wire-removal}}}}

\twocolumn[{%
\renewcommand\twocolumn[1][]{#1}%
\maketitle
\begin{center}
    \centering
    \captionsetup{type=figure}
    \includegraphics[width=\textwidth]{figures/teaser2.pdf}
    \captionof{figure}{We present an automatic high-resolution wire segmentation and removal pipeline. Each triad shows the high-resolution input image, our automatic wire segmentation result masked in red, and our full-resolution wire removal result. The visual quality of these photographs is greatly improved with our fully-automated wire clean-up system.}
    \label{fig:demo}
\end{center}%
}]

% \vspace{3mm}
%[INTERNAL]: \href{https://session-0f3f6c51-53bd-446a-ad30-ea59ed8b6445.devbox.training.adobesensei.io/tensorboard/result.html}{Visualizations} of current models.

%%%%%%%%% ABSTRACT
% \input{figure_tex/teaser}
\input{sections/abstract}

%%%%%%%%% BODY TEXT
\input{sections/introduction}
\input{sections/related_work}
\input{sections/dataset}
\input{sections/method_yq}
\input{sections/results}
\input{sections/discussion}
\input{sections/conclusion}

%%%%%%%%% REFERENCES
{\small
\bibliographystyle{ieee_fullname}
\bibliography{egbib}
}

\end{document}
