그림과 표 모두에 대한 단일 캡션이 있는 표 옆에 그림을 어떻게 배치할 수 있나요?

Question

아래에 테이블이 있고 그 오른쪽에 그림을 삽입하고 싶습니다. 표와 그림 모두 단일 캡션을 사용합니다. 아래는 테이블에 대한 내 코드입니다.

\begin{table*}
\begin{center}
\begin{tabular}{|l|l|cc|cc|cc|}
\hline%\noalign{\smallskip}
\multirow{2}{*}{Type} & \multirow{2}{*}{Model} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$} \\
 &  & SSIM & PSNR & SSIM & PSNR & SSIM & PSNR \\
\hline
\multirow{3}{*}{Deterministic} \ & 2D ConvLSTM \cite{convlstm} & 0.712 & 23.58 & 0.639 & 22.85 & 0.551 & 20.13 \\
& PredRNN++ \cite{wang-predrnn} & 0.865 & 28.47 & 0.741 & 25.21 & 0.702 & 23.51 \\ 
& E3D-LSTM \cite{wang-e3d} & \textbf{0.879} & \textbf{29.31} & 0.810 & 27.24 & 0.798 & 26.82 \\ 
\hline
\multirow{2}{*}{Stochastic} & Variational 2D ConvLSTM \cite{vrnn} & 0.787 & 25.76 & 0.733 & 24.83 & 0.672 & 23.13 \\
& Variational 3D ConvLSTM (Ours) & 0.866 & 28.31 & \textbf{0.852} & \textbf{27.89} & \textbf{0.846} & \textbf{27.66} \\ 
\hline
\end{tabular}
\end{center}
\caption{Results on the KTH action dataset when using 10 frames to predict 20 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$), 40 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$), and 60 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$) timesteps into the future. The metrics are computed frame-wise. Higher SSIM and PSNR scores indicate better results.}
\label{table:quantitativekth}
\end{table*}

여기 코드를 따라해 보았습니다.테이블을 하위 그림으로 포함하지만 그림은 항상 아래에 나타납니다.

\begin{table*}
\begin{center}
\subfloat[][]{\begin{tabular}{|l|l|cc|cc|cc|}
\hline%\noalign{\smallskip}
\multirow{2}{*}{Type} & \multirow{2}{*}{Model} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$} \\
 &  & SSIM & PSNR & SSIM & PSNR & SSIM & PSNR \\
\hline
\multirow{3}{*}{Deterministic} \ & 2D ConvLSTM \cite{convlstm} & 0.712 & 23.58 & 0.639 & 22.85 & 0.551 & 20.13 \\
& PredRNN++ \cite{wang-predrnn} & 0.865 & 28.47 & 0.741 & 25.21 & 0.702 & 23.51 \\ 
& E3D-LSTM \cite{wang-e3d} & \textbf{0.879} & \textbf{29.31} & 0.810 & 27.24 & 0.798 & 26.82 \\ 
\hline
\multirow{2}{*}{Stochastic} & Variational 2D ConvLSTM \cite{vrnn} & 0.787 & 25.76 & 0.733 & 24.83 & 0.672 & 23.13 \\
& Variational 3D ConvLSTM (Ours) & 0.866 & 28.31 & \textbf{0.852} & \textbf{27.89} & \textbf{0.846} & \textbf{27.66} \\ 
\hline
\end{tabular}
}
\quad
\subfloat[][]{\includegraphics[width=0.1\textwidth]{kth.png}}
\end{center}
\caption{Results on the KTH action dataset when using 10 frames to predict 20 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$), 40 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$), and 60 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$) timesteps into the future. The metrics are computed frame-wise. Higher SSIM and PSNR scores indicate better results.}
\label{table:quantitativekth}
\end{table*}

Answer 1

• 귀하의 테이블은 약간 넓기 때문에 다음 MWE에서는 테이블에서 사용되는 글꼴 크기와 크기를 줄입니다.\tabcolsep
• 테이블과 이미지가 테이블에 캡슐화되어 있습니다.
• valign=c그림의 수직 중앙 정렬을 위해 패키지 에 정의된 c 옵션이 사용됩니다 adjustbox(또한 graphicx패키지를 로드합니다.

\documentclass[twocolumn]{article}
%\usepackage{geometry}
%---------------- show page layout. don't use in a real document!
\usepackage{showframe}
\renewcommand\ShowFrameLinethickness{0.15pt}
\renewcommand*\ShowFrameColor{\color{red}}
%---------------------------------------------------------------%

\usepackage[export]{adjustbox}
\usepackage{multirow}
\usepackage{siunitx}

\begin{document}
    \begin{table*}
\centering
\setlength\tabcolsep{4pt}
    \begin{tabular}{@{} lr @{}}
\small
\begin{tabular}{@{} |l|l|cc|cc|cc|@{}}
    \hline
\multirow{2}{*}{Type} & \multirow{2}{*}{Model} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$} \\
    &  & SSIM & PSNR & SSIM & PSNR & SSIM & PSNR \\
    \hline
\multirow{3}{*}{Deterministic} \ & 2D ConvLSTM \cite{convlstm} & 0.712 & 23.58 & 0.639 & 22.85 & 0.551 & 20.13 \\
    & PredRNN++ \cite{wang-predrnn} & 0.865 & 28.47 & 0.741 & 25.21 & 0.702 & 23.51 \\
& E3D-LSTM \cite{wang-e3d} & \textbf{0.879} & \textbf{29.31} & 0.810 & 27.24 & 0.798 & 26.82 \\
    \hline
\multirow{2}{*}{Stochastic} & Variational 2D ConvLSTM \cite{vrnn} & 0.787 & 25.76 & 0.733 & 24.83 & 0.672 & 23.13 \\
    & Variational 3D ConvLSTM (Ours) & 0.866 & 28.31 & \textbf{0.852} & \textbf{27.89} & \textbf{0.846} & \textbf{27.66}     \\
    \hline
\end{tabular}
    &
    \includegraphics[width=0.1\linewidth,valign=c]{example-image-duck}
    \end{tabular}

\caption{Results on the KTH action dataset when using 10 frames to predict 20 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$), 40 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$), and 60 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$) time steps into the future. The metrics are computed frame-wise. Higher SSIM and PSNR scores indicate better results.}
\label{table:quantitativekth}
        \end{table*}
\end{document}

부록: 테이블과 이미지를 하단에 정렬하려면 [b]˙to insert4d table and at image remove optionvalign=c` 옵션을 추가하기만 하면 됩니다.

\documentclass[twocolumn]{article}
\usepackage[export]{adjustbox}
\usepackage{multirow}
\usepackage{siunitx}

\begin{document}
    \begin{table*}
\centering
\setlength\tabcolsep{4pt}
    \begin{tabular}{@{} lr @{}}
\small
\begin{tabular}[b]{@{} |l|l|cc|cc|cc|@{}}
    \hline
\multirow{2}{*}{Type} & \multirow{2}{*}{Model} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$} & \multicolumn{2}{c|}{$\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$} \\
    &  & SSIM & PSNR & SSIM & PSNR & SSIM & PSNR \\
    \hline
\multirow{3}{*}{Deterministic} \ & 2D ConvLSTM \cite{convlstm} & 0.712 & 23.58 & 0.639 & 22.85 & 0.551 & 20.13 \\
    & PredRNN++ \cite{wang-predrnn} & 0.865 & 28.47 & 0.741 & 25.21 & 0.702 & 23.51 \\
& E3D-LSTM \cite{wang-e3d} & \textbf{0.879} & \textbf{29.31} & 0.810 & 27.24 & 0.798 & 26.82 \\
    \hline
\multirow{2}{*}{Stochastic} & Variational 2D ConvLSTM \cite{vrnn} & 0.787 & 25.76 & 0.733 & 24.83 & 0.672 & 23.13 \\
    & Variational 3D ConvLSTM (Ours) & 0.866 & 28.31 & \textbf{0.852} & \textbf{27.89} & \textbf{0.846} & \textbf{27.66}     \\
    \hline
\end{tabular}
    &
    \includegraphics[width=0.1\linewidth]{example-image-duck}
    \end{tabular}

\caption{Results on the KTH action dataset when using 10 frames to predict 20 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:30}$), 40 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:50}$), and 60 ($\text{x}_{1:10} \rightarrow \hat{\text{x}}_{11:70}$) time steps into the future. The metrics are computed frame-wise. Higher SSIM and PSNR scores indicate better results.}
\label{table:quantitativekth}
        \end{table*}
\end{document}