Sunucu yanıtını kontrol edin

Yanıt başlıkları

İstek başlıkları

Ham HTML kodu

200 OK - w1kp.com

HTTP Status: 200

User-Agent: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; [email protected])

Server: nginx/1.10.3 (Ubuntu)

Date: Thu, 29 May 2025 16:40:34 GMT

Content-Type: text/html

Content-Length: 13576

Last-Modified: Thu, 14 Nov 2024 22:15:35 GMT

Connection: keep-alive

ETag: "67367687-3508"

Accept-Ranges: bytes

HTTP Kodu 200 OK

200 http durum kodu, standart bir başarılı HTTP sunucu yanıtıdır. Bu, istemcinin isteğinin (örneğin, bir tarayıcıdan) başarıyla işlendiği ve sunucunun istenen verileri ilettiği anlamına gelir.

Kod 200 ne zaman kullanılır?

Bir web sayfası yüklenirken
Bir API yanıtı başarıyla alındığında
Bir form veya başka bir HTTP isteği işlenirken

Kod 200 kullanıcı için ne anlama gelir?

Kullanıcı içeriği hatasız alır ve sayfa veya uygulama düzgün çalışır. Kod 200'e veri eşlik ediyorsa, tarayıcı veya program bunu işler ve kullanıcıya görüntüler.

GET / HTTP/1.1
Host: w1kp.com
Accept: */*
User-Agent: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; [email protected])

<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
  <!-- Replace the content tag with appropriate information -->
  <meta name="description" content="Project page for the W1KP paper.">
  <meta property="og:title" content="W1KP: Measuring and Understanding Perceptual Variability in Text-to-Image Generation"/>
  <meta property="og:description" content="Project page for the W1KP paper."/>
  <meta property="og:url" content="http://w1kp.com"/>
  <!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
  <meta property="og:image" content="http://w1kp.com/static/images/w1kp-banner.png" />
  <meta property="og:image:width" content="1200"/>
  <meta property="og:image:height" content="609"/>


  <meta name="twitter:title" content="W1KP: Measuring and Understanding Perceptual Variability in Text-to-Image Generation">
  <meta name="twitter:description" content="Project page for the W1KP paper.">
  <!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
  <meta name="twitter:image" content="http://w1kp.com/static/images/w1kp-banner.png">
  <meta name="twitter:card" content="summary_large_image">
  <!-- Keywords for your paper to be indexed by-->
  <meta name="keywords" content="KEYWORDS SHOULD BE PLACED HERE">
  <meta name="viewport" content="width=device-width, initial-scale=1">


  <title>Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation</title>
  <link rel="icon" type="image/x-icon" href="static/images/favicon.ico">
  <link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
  rel="stylesheet">

  <link rel="stylesheet" href="static/css/bulma.min.css">
  <link rel="stylesheet" href="static/css/bulma-carousel.min.css">
  <link rel="stylesheet" href="static/css/bulma-slider.min.css">
  <script src="https://kit.fontawesome.com/ba7c509e86.js" crossorigin="anonymous"></script>
  <link rel="stylesheet"
  href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
  <link rel="stylesheet" href="static/css/index.css">

  <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
  <script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
  <script defer src="static/js/fontawesome.all.min.js"></script>
  <script src="static/js/bulma-carousel.min.js"></script>
  <script src="static/js/bulma-slider.min.js"></script>
  <script src="static/js/index.js"></script>
</head>
<body>


  <section class="hero">
    <div class="hero-body">
      <div class="container is-max-desktop">
        <div class="columns is-centered">
          <div class="column has-text-centered">
            <img width=320px src="/static/images/icon-banner.svg"></img>
            <h1 class="title is-1 publication-title">Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation</h1>
            <div class="is-size-5 publication-authors">
              <!-- Paper authors -->
              <span class="author-block">
                <a href="http://ralphtang.com" target="_blank">Raphael Tang</a>,<sup>1,2</sup></span>
                <span class="author-block">
                  <a href="https://crystina-z.github.io/" target="_blank">Xinyu Zhang</a>,<sup>2</sup></span>
                  <span class="author-block">
                    <a href="https://www.linkedin.com/in/ulie-xu/" target="_blank">Lixinyu Xu</a>,<sup>1</sup>
                  </span>
                  <span class="author-block">
                    <a href="https://yaolu.github.io/" target="_blank">Yao Lu</a>,<sup>3</sup>
                  </span>
                  <span class="author-block">
                    <a href="https://wenyanli.org/" target="_blank">Wenyan Li</a>,<sup>4</sup>
                  </span>
                  <span class="author-block">
                    <a href="https://pontus.stenetorp.se/" target="_blank">Pontus Stenetorp</a>,<sup>3</sup>
                  </span>
                  <span class="author-block">
                    <a href="https://cs.uwaterloo.ca/~jimmylin/" target="_blank">Jimmy Lin</a>,<sup>2</sup>
                  </span>
                  <span class="author-block">
                    <a href="https://ferhanture.com/" target="_blank">Ferhan Ture</a><sup>1</sup>
                  </span>
                  </div>

                  <div class="is-size-5 publication-authors">
                    <span class="author-block"><sup>1</sup>Comcast AI Technologies, <sup>2</sup>University of Waterloo, <sup>3</sup>University College London, <sup>4</sup>University of Copenhagen<br></span>
                  </div>

                  <div class="column has-text-centered">
                    <div class="publication-links">
                         <!-- Arxiv PDF link -->
                      <span class="link-block">
                        <a href="https://aclanthology.org/2024.emnlp-main.311/" target="_blank"
                        class="external-link button is-normal is-rounded is-dark">
                        <span class="icon">
                          <i class="fas fa-file-pdf"></i>
                        </span>
                        <span>Paper</span>
                      </a>
                    </span>

                    <!-- Supplementary PDF link 
                    <span class="link-block">
                      <a href="static/pdfs/supplementary_material.pdf" target="_blank"
                      class="external-link button is-normal is-rounded is-dark">
                      <span class="icon">
                        <i class="fas fa-flask"></i>
                      </span>
                      <span>Demo</span>
                    </a>
                  </span> -->

                  <!-- Github link -->
                  <span class="link-block">
                    <a href="https://github.com/castorini/w1kp" target="_blank"
                    class="external-link button is-normal is-rounded is-dark">
                    <span class="icon">
                      <i class="fab fa-github"></i>
                    </span>
                    <span>Code</span>
                  </a>
                </span>

                <!-- ArXiv abstract Link -->
                <span class="link-block">
                  <a href="#BibTeX"
                  class="external-link button is-normal is-rounded is-dark">
                  <span class="icon">
                    <i class="fa-solid fa-quote-left"></i>
                  </span>
                  <span>Citation</span>
                </a>
              </span>
            </div>
          </div>
        </div>
      </div>
    </div>
  </div>
</section>

<!-- Teaser video-->
<section class="hero teaser">
  <div class="container is-max-desktop">
    <div class="hero-body">
      <h3><span class="highlight">tl;dr:</span>  We propose W1KP, a human-calibrated measure of variability in a set of images. We apply it to study prompt reusability and linguistic feature salience for image generation.</h3>
      <video poster="" id="tree" autoplay controls muted loop height="100%">
        <!-- Your video here -->
        <source src="/static/videos/banner_video.mp4"
        type="video/mp4">
      </video>
      <h2 class="subtitle has-text-centered">
        Above, we visualize the overlap between the two most similar images (on average) as we generate more images for a given prompt. We remove the green channel for one image (magenta) and keep only the green for the other, then stack the two. Imagen is reusable up to 10-50 images while the others 50-200 images. 
      </h2>
    </div>
  </div>
</section>
<!-- End teaser video -->

<!-- Paper abstract -->
<section class="section hero is-light">
  <div class="container is-max-desktop">
    <div class="columns is-centered has-text-centered">
      <div class="column is-four-fifths">
        <h2 class="title is-3">Abstract</h2>
        <div class="content has-text-justified">
          <p>
Diffusion models are the state of the art in text-to-image generation, but their perceptual variability remains understudied.
In this paper, we examine how prompts affect image variability in black-box diffusion-based models.
We propose W1KP, a human-calibrated measure of variability in a set of images, bootstrapped from existing image-pair perceptual distances.
Current datasets do not cover recent diffusion models, thus we curate three test sets for evaluation.
Our best perceptual distance outperforms nine baselines by up to 18 points in accuracy, and our calibration matches graded human judgements 78% of the time.
Using W1KP, we study prompt reusability and show that Imagen prompts can be reused for 10-50 random seeds before new images become too similar to already generated images, while Stable Diffusion XL and DALL-E 3 can be reused 50-200 times.
Lastly, we analyze 56 linguistic features of real prompts, finding that the prompt's length, CLIP embedding norm, concreteness, and word senses influence variability most.
As far as we are aware, we are the first to analyze diffusion variability from a visuolinguistic perspective.          
          </p>
        </div>
      </div>
    </div>
  </div>
</section>
<!-- End paper abstract -->


<!-- Image carousel -->
<section class="hero is-small">
  <div class="hero-body">
    <div class="container">
      <div id="results-carousel" class="carousel results-carousel">
       <div class="item">
        <!-- Your image here -->
        <img src="static/images/website-ex0.jpg" alt=""/>
        <h2 class="subtitle has-text-centered">
           Image pairs from SDXL, ordered column-wise by calibrated W1KP scores. From left to right, the image pairs correspond to high (0.85-1.0), medium (0.4-0.85), low (0.2-0.4), and no similarity (0.0-0.2).
        </h2>
      </div>
       <div class="item">
        <!-- Your image here -->
        <img src="static/images/website-ex2.jpg" alt=""/>
        <h2 class="subtitle has-text-centered">
           A plot of W1KP similarity score against word frequency, CLIP embedding norm, concreteness, and word senses for single-word prompts. These linguistic features consistently and significantly affect the perceptual variability.
        </h2>
      </div>
      <div class="item">
      <!-- Your image here -->
      <img src="static/images/website-ex1.jpg" alt="MY ALT TEXT"/>
      <h2 class="subtitle has-text-centered">
          Dimensionality reduction using W1KP score and multidimensional scaling. Imagen has six distinct clusters of high similarity.
      </h2>
    </div>
  </div>
</div>
</div>
</section>
<!-- End image carousel -->



<!-- Youtube video 
<section class="hero is-small is-light">
  <div class="hero-body">
    <div class="container">
      <h2 class="title is-3">Video Presentation</h2>
      <div class="columns is-centered has-text-centered">
        <div class="column is-four-fifths">
          
          <div class="publication-video">
            <iframe src="https://www.youtube.com/embed/JkaxUblCGz0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
          </div>
        </div>
      </div>
    </div>
  </div>
</section>
End youtube video -->



<!-- Paper poster -->
<!-- <section class="hero is-small is-light">
  <div class="hero-body">
    <div class="container">
      <h2 class="title">Poster</h2>

      <iframe  src="static/pdfs/sample.pdf" width="100%" height="550">
          </iframe>
        
      </div>
    </div>
  </section> -->
<!--End paper poster -->


<!--BibTex citation -->
  <section class="section" id="BibTeX">
    <div class="container is-max-desktop content">
      <h2 class="title">BibTeX Citation</h2>
      <pre><code>@inproceedings{tang2024words,
    title = "Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation",
    author = "Tang, Raphael  and
      Zhang, Crystina  and
      Xu, Lixinyu  and
      Lu, Yao  and
      Li, Wenyan  and
      Stenetorp, Pontus  and
      Lin, Jimmy  and
      Ture, Ferhan",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    year = "2024",
    url = "https://aclanthology.org/2024.emnlp-main.311",
    pages = "5441--5454",
}</code></pre>
    </div>
</section>
<!--End BibTex citation -->


  <footer class="footer">
  <div class="container">
    <div class="columns is-centered">
      <div class="column is-8">
        <div class="content">

          <p>
            This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page. You are free to borrow the of this website, we just ask that you link back to this page in the footer. This website is licensed under a <a rel="license"  href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
            Commons Attribution-ShareAlike 4.0 International License</a>.
          </p>

        </div>
      </div>
    </div>
  </div>
</footer>

<!-- Statcounter tracking code -->
  
<!-- You can add a tracker to track page visits by creating an account at statcounter.com -->

    <!-- End of Statcounter Code -->

  </body>
  </html>

Alan adının whois bilgisi

Domain Name: W1KP.COM

Registry Domain ID: 2885326282_DOMAIN_COM-VRSN

Registrar WHOIS Server: whois.godaddy.com

Registrar URL: http://www.godaddy.com

Updated Date: 2024-05-28T07:24:22Z

Creation Date: 2024-05-28T07:24:21Z

Registry Expiry Date: 2027-05-28T07:24:21Z

Registrar: GoDaddy.com, LLC

Registrar IANA ID: 146

Registrar Abuse Contact Email: [email protected]

Registrar Abuse Contact Phone: 480-624-2505

Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited

Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited

Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited

Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited

Name Server: NS53.DOMAINCONTROL.COM

Name Server: NS54.DOMAINCONTROL.COM

DNSSEC: unsigned

URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/

>>> Last update of whois database: 2025-05-29T16:40:22Z <<<

For more information on Whois status codes, please visit https://icann.org/epp

NOTICE: The expiration date displayed in this record is the date the

by the following terms of use: You agree that you may use this Data only

to: (1) allow, enable, or otherwise support the transmission of mass

w1kps1j

w1kpj3o

w1kpnnn

w1kpboc

w1kpifi

w1kpaga

w1kpo5q

w1kp3oo

w1kpx2q

w1kpaww

w1kppxu

w1kpfd7

w1kpy5x

w1kpd0v

w1kphey

w1kp8vw

w1kp9kf

w1kpt2g

w1kpqcw

w1kpaie

w1kpdma

w1kp3r6

w1kp1p6

w1kplus

w1kpdvs

w1kplyo

w1kpug9

w1kp8g3

w1kphu1

w1kpe5r

w1kp1cr

w1kpvka

w1kpjw6

w1kp5og

w1kpiie