Pose-Guided Person Image Synthesis — CVPR 2024 Poster
A CVPR 2024 poster presenting a novel training paradigm for pose-guided person image synthesis using a perception-refined decoder and hybrid-granularity attention to decouple appearance and pose information.
论文上下文
Paper title: Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis Abstract: A CVPR 2024 poster presenting a novel training paradigm for pose-guided person image synthesis using a perception-refined decoder and hybrid-granularity attention to decouple appearance and pose information. Paper body (method & results): <!DOCTYPE html> <html lang="en"> <head> <meta content="text/html; charset=utf-8" http-equiv="content-type"/> <title>Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis</title> <!--Generated on Wed Feb 28 06:04:29 2024 by LaTeXML (version 0.8.7) http://dlmf.nist.gov/LaTeXML/.--> <meta content="width=device-width, initial-scale=1, shrink-to-fit=no" name="viewport"/> <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet" type="text/css"/> <link href="/static/browse/0.3.4/css/ar5iv_0.7.4.min.css" rel="stylesheet" type="text/css"/> <link href="/static/browse/0.3.4/css/latexml_styles.css" rel="stylesheet" type="text/css"/> <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/html2canvas/1.3.3/html2canvas.min.js"></script> <script src="/static/browse/0.3.4/js/addons.js"></script> <script src="/static/browse/0.3.4/js/feedbackOverlay.js"></script> <base href="/html/2402.18078v1/"/></head> <body> <nav class="ltx_page_navbar"> <nav class="ltx_TOC"> <ol class="ltx_toclist"> <li class="ltx_tocentry ltx_tocentry_section"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S1" title="1 Introduction ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">1 </span>Introduction</span></a></li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S2" title="2 Related Work ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2 </span>Related Work</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S2.SS1" title="2.1 Pose-Guided Person Image Synthesis ‣ 2 Related Work ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2.1 </span>Pose-Guided Person Image Synthesis</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S2.SS2" title="2.2 Controllable Diffusion Models ‣ 2 Related Work ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">2.2 </span>Controllable Diffusion Models</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S3" title="3 Method ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3 </span>Method</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S3.SS1" title="3.1 Preliminary ‣ 3 Method ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3.1 </span>Preliminary</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S3.SS2" title="3.2 Coarse-to-Fine Latent Diffusion ‣ 3 Method ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3.2 </span>Coarse-to-Fine Latent Diffusion</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S3.SS3" title="3.3 Optimization ‣ 3 Method ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">3.3 </span>Optimization</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"> <a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4" title="4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4 </span>Experiments</span></a> <ol class="ltx_toclist ltx_toclist_section"> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4.SS1" title="4.1 Setup ‣ 4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.1 </span>Setup</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4.SS2" title="4.2 Quantitative Comparison ‣ 4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.2 </span>Quantitative Comparison</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4.SS3" title="4.3 Qualitative Comparison ‣ 4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.3 </span>Qualitative Comparison</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4.SS4" title="4.4 User Study ‣ 4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.4 </span>User Study</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4.SS5" title="4.5 Ablation Study ‣ 4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.5 </span>Ablation Study</span></a></li> <li class="ltx_tocentry ltx_tocentry_subsection"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S4.SS6" title="4.6 Appearance Editing ‣ 4 Experiments ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">4.6 </span>Appearance Editing</span></a></li> </ol> </li> <li class="ltx_tocentry ltx_tocentry_section"><a class="ltx_ref" href="https://arxiv.org/html/2402.18078v1#S5" title="5 Conclusion ‣ Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis"><span class="ltx_text ltx_ref_title"><span class="ltx_tag ltx_tag_ref">5 </span>Conclusion</span></a></li> </ol></nav> </nav> <div class="ltx_page_main"> <div class="ltx_page_content"> <div aria-label="Conversion errors have been found" class="package-alerts 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Feedback on these issues are not necessary; they are known and are being worked on.</p> <ul arial-label="Unsupported packages used in this paper"> <li>failed: epic</li> </ul> <p>Authors: achieve the best HTML results from your LaTeX submissions by following these <a href="https://info.arxiv.org/help/submit_latex_best_practices.html" target="_blank">best practices</a>.</p> </div><div class="section" id="target-section"><div id="license-tr">License: arXiv.org perpetual non-exclusive license</div><div id="watermark-tr">arXiv:2402.18078v1 [cs.CV] 28 Feb 2024</div></div> <script> function closePopup() { document.querySelector('.package-alerts').style.display = 'none'; } </script> <article class="ltx_document ltx_authors_1line"> <h1 class="ltx_title ltx_title_document">Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis</h1> <div class="ltx_authors"> <span class="ltx_creator ltx_role_author"> <span class="ltx_personname"> Yanzuo Lu<sup class="ltx_sup" id="id1.1.id1">1</sup> </span></span> <span class="ltx_author_before"> </span><span class="ltx_creator ltx_role_author"> <span class="ltx_personname">Manlin Zhang<sup class="ltx_sup" id="id2.1.id1">1</sup> </span></span> <span class="ltx_author_before"> </span><span class="ltx_creator ltx_role_author"> <span class="ltx_personname">Andy J Ma<sup class="ltx_sup" id="id3.1.id1">1,2,3 </sup> </span><span class="ltx_author_notes">Corresponding author.</span></span> <span class="ltx_author_before"> </span><span class="ltx_creator ltx_role_author"> <span class="ltx_personname">Xiaohua Xie<sup class="ltx_sup" id="id4.1.id1">1,2,3</sup> </span></span> <span class="ltx_author_before"> </span><span class="ltx_creator ltx_role_author"> <span class="ltx_personname">Jianhuang Lai<sup class="ltx_sup" id="id5.1.id1">1,2,3,4</sup> </span></span> <span class="ltx_author_before"> </span><span class="ltx_creator ltx_role_author"> <span class="ltx_personname"><sup class="ltx_sup" id="id6.1.id1">1</sup>School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China <br class="ltx_break"/><sup class="ltx_sup" id="id7.2.id2">2</sup>Guangdong Province Key Laboratory of Information Security Technology, China <br class="ltx_break"/><sup class="ltx_sup" id="id8.3.id3">3</sup>Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China <br class="ltx_break"/><sup class="ltx_sup" id="id9.4.id4">4</sup>Pazhou Lab (HuangPu), Guangzhou, China <br class="ltx_break"/><span class="ltx_text ltx_font_typewriter" id="id10.5.id5" style="font-size:90%;">{luyz5, zhangmlin3}@mail2.sysu.edu.cn, {majh8, xiexiaoh6, stsljh}@mail.sysu.edu.cn</span> </span></span> </div> <div class="ltx_abstract"> <h6 class="ltx_title ltx_title_abstract">Abstract</h6> <p class="ltx_p" id="id11.id1">Diffusion model is a promising approach to image generation and has been employed for Pose-Guided Person Image Synthesis (PGPIS) with competitive performance. While existing methods simply align the person appearance to the target pose, they are prone to overfitting due to the lack of a high-level semantic understanding on the source person image. In this paper, we propose a novel Coarse-to-Fine Latent Diffusion (CFLD) method for PGPIS. In the absence of image-caption pairs and te
