<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fashion | Hugo Academic CV Theme</title><link>https://litelightlite.github.io/tags/fashion/</link><atom:link href="https://litelightlite.github.io/tags/fashion/index.xml" rel="self" type="application/rss+xml"/><description>Fashion</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 31 Oct 2024 08:33:30 +0000</lastBuildDate><image><url>https://litelightlite.github.io/media/icon_hu7729264130191091259.png</url><title>Fashion</title><link>https://litelightlite.github.io/tags/fashion/</link></image><item><title>An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation'</title><link>https://litelightlite.github.io/papers/sa2024gpt4v/</link><pubDate>Thu, 31 Oct 2024 08:33:30 +0000</pubDate><guid>https://litelightlite.github.io/papers/sa2024gpt4v/</guid><description/></item><item><title>A Fashion Item Recommendation Model in Hyperbolic Space</title><link>https://litelightlite.github.io/papers/cvprw2024hyperbolic/</link><pubDate>Wed, 04 Sep 2024 10:30:11 +0000</pubDate><guid>https://litelightlite.github.io/papers/cvprw2024hyperbolic/</guid><description/></item><item><title>From Snap to Score: A Comprehensive Resource for Predicting Fashion Preferences Using Competitive-Based Ranking</title><link>https://litelightlite.github.io/papers/miru2024niaudataset/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://litelightlite.github.io/papers/miru2024niaudataset/</guid><description/></item><item><title>大規模視覚言語モデルを用いた「似合う」の自動評価法</title><link>https://litelightlite.github.io/papers/miru2024lniau/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://litelightlite.github.io/papers/miru2024lniau/</guid><description/></item><item><title>着用者の体型を考慮したファッションコーディネート推薦</title><link>https://litelightlite.github.io/papers/miru2023ncube/</link><pubDate>Tue, 01 Aug 2023 00:00:00 +0000</pubDate><guid>https://litelightlite.github.io/papers/miru2023ncube/</guid><description/></item></channel></rss>