From: Project Hentai AI Date: Sat, 23 Jul 2022 16:58:19 +0000 (+0200) Subject: X1 update X-Git-Url: https://git.hentai-ai.org/?a=commitdiff_plain;h=1b3e5be36d3ea67c8a00c07b27d9ecf40fede015;p=papers%2FNEKO.git%2F.git X1 update --- diff --git a/NEKO.aux b/NEKO.aux index 35d28c9..3b75a77 100644 --- a/NEKO.aux +++ b/NEKO.aux @@ -1,7 +1,7 @@ \relax \bibdata{ref} \bibstyle{plain} -\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Insert caption here}}{1}\protected@file@percent } +\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Furry chart with kemonomimi on the far left.}}{1}\protected@file@percent } \newlabel{fig:furrychart}{{1}{1}} \@writefile{toc}{\contentsline {section}{\numberline {I}Introduction}{1}\protected@file@percent } \newlabel{sec:intro}{{I}{1}} diff --git a/NEKO.log b/NEKO.log index 9dbfb66..41eb0b8 100644 --- a/NEKO.log +++ b/NEKO.log @@ -1,4 +1,4 @@ -This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2022.6.23) 5 JUL 2022 17:55 +This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2022.6.23) 23 JUL 2022 18:53 entering extended mode restricted \write18 enabled. %&-line parsing enabled. @@ -299,10 +299,10 @@ File: umsb.fd 2013/01/14 v3.01 AMS symbols B File: img/furrychart.jpg Graphic file (type jpg) -Package pdftex.def Info: img/furrychart.jpg used on input line 51. +Package pdftex.def Info: img/furrychart.jpg used on input line 52. (pdftex.def) Requested size: 258.0pt x 138.42174pt. -Overfull \hbox (6.0pt too wide) in paragraph at lines 51--52 +Overfull \hbox (6.0pt too wide) in paragraph at lines 52--53 [][] [] @@ -322,28 +322,25 @@ Before submitting the final camera ready copy, remember to: <./img/furrychart.jpg>] -(./NEKO.aux) - -LaTeX Warning: Label(s) may have changed. Rerun to get cross-references right. - - ) +(./NEKO.aux) ) Here is how much of TeX's memory you used: - 3806 strings out of 481239 - 54524 string characters out of 5920377 - 296713 words of memory out of 5000000 - 19042 multiletter control sequences out of 15000+600000 + 3799 strings out of 481239 + 54421 string characters out of 5920377 + 297657 words of memory out of 5000000 + 19035 multiletter control sequences out of 15000+600000 574665 words of font info for 110 fonts, out of 8000000 for 9000 1141 hyphenation exceptions out of 8191 - 30i,11n,37p,227b,423s stack positions out of 5000i,500n,10000p,200000b,80000s -{/usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} -Output written on NEKO.pdf (1 page, 297683 bytes). + 30i,11n,37p,413b,423s stack positions out of 5000i,500n,10000p,200000b,80000s +{/usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} +Output written on NEKO.pdf (1 page, 308166 bytes). PDF statistics: - 26 PDF objects out of 1000 (max. 8388607) - 17 compressed objects within 1 object stream + 30 PDF objects out of 1000 (max. 8388607) + 20 compressed objects within 1 object stream 0 named destinations out of 1000 (max. 500000) 6 words of extra memory for PDF output out of 10000 (max. 10000000) diff --git a/NEKO.pdf b/NEKO.pdf index 4feb8df..8a12b08 100644 Binary files a/NEKO.pdf and b/NEKO.pdf differ diff --git a/NEKO.tex b/NEKO.tex index 6e6165e..fdbc96c 100644 --- a/NEKO.tex +++ b/NEKO.tex @@ -35,27 +35,50 @@ deep learning, kemonomimi, anime, animal ears, lewd, ecchi, hentai \subsection{Deep Learning} \label{sec:dl} \subsection{Kemonomimi} \label{sec:kemonomimi} - -According to Urban Dictionary\footnote{\url{https://www.urbandictionary.com/define.php?term=Kemonomimi}}... +The term \emph{Kemonomimi} comes from the two japanese words for beast/animal (kemono) and ear (mimi). +According to Urban Dictionary\footnote{\url{https://www.urbandictionary.com/define.php?term=Kemonomimi}} the term refers to: \begin{quote} - A person with animalistic characteristics who is NOT a furry + \emph{a person with animalistic characteristics who is NOT a furry These characteristics include, but are not limited to cat ears/tail, fox ears/tail, puppy ears/tail, bunny ears/tail, deer/doe ears/tail, and many more animals. These human animal hybrids can also have horns, fangs, whiskers, and different color patterns. - Kemonomimi and Furries are two different things. + Kemonomimi and Furries are two different things.} \end{quote} +It notably mentioned multiple times by Urban Dictionary that there is a distinction between kemonomimi and furry which is illustrated in Figure~\ref{fig:furrychart}. \begin{figure} \includegraphics[width=.5\textwidth]{img/furrychart.jpg} - \caption{Insert caption here} + \caption{Furry chart with kemonomimi on the far left.} \label{fig:furrychart} \end{figure} +Kemonomimi can then be split into subcategories based on the animal. In this study the following categories of kemonomimi are within scope: +\begin{itemize} + \item Nekomimi (cat) + \item Inumimi (dog) + \item Usagimimi (bunny) + \item Okamimimi (wolf) + \item Kitsunemimi (fox) +\end{itemize} +We will also in this study focus on the ear feature and less on the tail. +Sometimes a character does not have biological animal ears on their head, but is instead wearing a headband with ears attached. Other times a character might both have normal human ears as well as biological animals. In this study we make no distinction and include all types. Training an AI to detect animal ear headbands is considered for future work in Section~\ref{sec:futurework}. + \section{Method} \label{sec:method} +First we establish if a model trained on low resolution images (thumbnails) can make accurate predictions on high resolution images (original). +This study can then be further split into three challenges. Can an AI learn to differentiate between: +\begin{enumerate} + \item Kemonomimi and Non-kemonomimi + \item Two types of kemonomimi + \item Multiple types of kemonomimi +\end{enumerate} \subsection{Data Collection} \label{sec:datacollection} +The collection of images for the dataset of this study utilizes a script built around the API of Gelbooru\footnote{\url{https://gelbooru.com/}}. +% TODO write about Gelboory +% TODO write about the API +% TODO write about the script \subsection{fast.ai} \label{sec:fastai}