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@@ -2,21 +2,17 @@
 <html>
 <head>
   <meta charset="utf-8">
-  <meta name="description"
-        content="Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.">
-  <meta name="keywords" content="Nerfies, D-NeRF, NeRF">
   <meta name="viewport" content="width=device-width, initial-scale=1">
-  <title>Nerfies: Deformable Neural Radiance Fields</title>
-  <link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
-        rel="stylesheet">
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@@ -33,380 +29,145 @@
     <div class="container is-max-desktop">
       <div class="columns is-centered">
         <div class="column has-text-centered">
-          <h1 class="title is-1 publication-title">Nerfies: Deformable Neural Radiance Fields</h1>
-          <div class="is-size-5 publication-authors">
-            <span class="author-block">
-              <a href="https://keunhong.com" target="_blank">Keunhong Park</a><sup>1</sup>,</span>
-            <span class="author-block">
-              <a href="https://utkarshsinha.com" target="_blank">Utkarsh Sinha</a><sup>2</sup>,</span>
-            <span class="author-block">
-              <a href="https://jonbarron.info" target="_blank">Jonathan T. Barron</a><sup>2</sup>,
-            </span>
-            <span class="author-block">
-              <a href="http://sofienbouaziz.com" target="_blank">Sofien Bouaziz</a><sup>2</sup>,
-            </span>
-            <span class="author-block">
-              <a href="https://www.danbgoldman.com" target="_blank">Dan B Goldman</a><sup>2</sup>,
-            </span>
-            <span class="author-block">
-              <a href="https://homes.cs.washington.edu/~seitz/" target="_blank">Steven M. Seitz</a><sup>1,2</sup>,
-            </span>
-            <span class="author-block">
-              <a href="http://www.ricardomartinbrualla.com" target="_blank">Ricardo Martin-Brualla</a><sup>2</sup>
-            </span>
-          </div>
           <div class="is-size-5 publication-authors">
-            <span class="author-block"><sup>1</sup>University of Washington,</span>
-            <span class="author-block"><sup>2</sup>Google Research</span>
           </div>
-          <div class="column has-text-centered">
-            <div class="publication-links">
-              <!-- PDF Link. -->
-              <span class="link-block">
-                <a href="https://arxiv.org/pdf/2011.12948" 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>
-              <span class="link-block">
-                <a href="https://arxiv.org/abs/2011.12948" target="_blank"
-                   class="external-link button is-normal is-rounded is-dark">
-                  <span class="icon">
-                      <i class="ai ai-arxiv"></i>
-                  </span>
-                  <span>arXiv</span>
-                </a>
-              </span>
-              <!-- Video Link. -->
-              <span class="link-block">
-                <a href="https://www.youtube.com/watch?v=MrKrnHhk8IA" target="_blank"
-                   class="external-link button is-normal is-rounded is-dark">
-                  <span class="icon">
-                      <i class="fab fa-youtube"></i>
-                  </span>
-                  <span>Video</span>
-                </a>
-              </span>
-              <!-- Code Link. -->
-              <span class="link-block">
-                <a href="https://github.com/google/nerfies" 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>
-              <!-- Dataset Link. -->
-              <span class="link-block">
-                <a href="https://github.com/google/nerfies/releases/tag/0.1" target="_blank"
-                   class="external-link button is-normal is-rounded is-dark">
-                  <span class="icon">
-                      <i class="far fa-images"></i>
-                  </span>
-                  <span>Data</span>
-                  </a>
-            </div>
-          </div>
-        </div>
-      </div>
-    </div>
-  </div>
-</section>
-<section class="hero teaser">
-  <div class="container is-max-desktop">
-    <div class="hero-body">
-      <video id="teaser" autoplay muted loop playsinline height="100%">
-        <source src="./static/videos/teaser.mp4"
-                type="video/mp4">
-      </video>
-      <h2 class="subtitle has-text-centered">
-        <span class="dnerf">Nerfies</span> turns selfie videos from your phone into
-        free-viewpoint
-        portraits.
-      </h2>
-    </div>
-  </div>
-</section>
-<section class="hero is-light is-small">
-  <div class="hero-body">
-    <div class="container">
-      <div id="results-carousel" class="carousel results-carousel">
-        <div class="item item-steve">
-          <video poster="" id="steve" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/steve.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-chair-tp">
-          <video poster="" id="chair-tp" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/chair-tp.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-shiba">
-          <video poster="" id="shiba" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/shiba.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-fullbody">
-          <video poster="" id="fullbody" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/fullbody.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-blueshirt">
-          <video poster="" id="blueshirt" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/blueshirt.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-mask">
-          <video poster="" id="mask" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/mask.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-coffee">
-          <video poster="" id="coffee" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/coffee.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <div class="item item-toby">
-          <video poster="" id="toby" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/toby2.mp4"
-                    type="video/mp4">
-          </video>
         </div>
       </div>
     </div>
   </div>
 </section>
 <section class="section">
   <div class="container is-max-desktop">
     <!-- Abstract. -->
     <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>
-            We present the first method capable of photorealistically reconstructing a non-rigidly
-            deforming scene using photos/videos captured casually from mobile phones.
-          </p>
-          <p>
-            Our approach augments neural radiance fields
-            (NeRF) by optimizing an
-            additional continuous volumetric deformation field that warps each observed point into a
-            canonical 5D NeRF.
-            We observe that these NeRF-like deformation fields are prone to local minima, and
-            propose a coarse-to-fine optimization method for coordinate-based models that allows for
-            more robust optimization.
-            By adapting principles from geometry processing and physical simulation to NeRF-like
-            models, we propose an elastic regularization of the deformation field that further
-            improves robustness.
-          </p>
-          <p>
-            We show that <span class="dnerf">Nerfies</span> can turn casually captured selfie
-            photos/videos into deformable NeRF
-            models that allow for photorealistic renderings of the subject from arbitrary
-            viewpoints, which we dub <i>"nerfies"</i>. We evaluate our method by collecting data
-            using a
-            rig with two mobile phones that take time-synchronized photos, yielding train/validation
-            images of the same pose at different viewpoints. We show that our method faithfully
-            reconstructs non-rigidly deforming scenes and reproduces unseen views with high
-            fidelity.
           </p>
         </div>
       </div>
     </div>
     <!--/ Abstract. -->
-    <!-- Paper video. -->
     <div class="columns is-centered has-text-centered">
       <div class="column is-four-fifths">
-        <h2 class="title is-3">Video</h2>
-        <div class="publication-video">
-          <iframe src="https://www.youtube.com/embed/MrKrnHhk8IA?rel=0&amp;showinfo=0"
-                  frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
         </div>
-      </div>
-    </div>
-    <!--/ Paper video. -->
-  </div>
-</section>
-<section class="section">
-  <div class="container is-max-desktop">
-    <div class="columns is-centered">
-      <!-- Visual Effects. -->
-      <div class="column">
-        <div class="content">
-          <h2 class="title is-3">Visual Effects</h2>
-          <p>
-            Using <i>nerfies</i> you can create fun visual effects. This Dolly zoom effect
-            would be impossible without nerfies since it would require going through a wall.
-          </p>
-          <video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/dollyzoom-stacked.mp4"
-                    type="video/mp4">
-          </video>
         </div>
-      </div>
-      <!--/ Visual Effects. -->
-      <!-- Matting. -->
-      <div class="column">
-        <h2 class="title is-3">Matting</h2>
-        <div class="columns is-centered">
-          <div class="column content">
-            <p>
-              As a byproduct of our method, we can also solve the matting problem by ignoring
-              samples that fall outside of a bounding box during rendering.
-            </p>
-            <video id="matting-video" controls playsinline height="100%">
-              <source src="./static/videos/matting.mp4"
-                      type="video/mp4">
-            </video>
           </div>
         </div>
-      </div>
-    </div>
-    <!--/ Matting. -->
-    <!-- Animation. -->
-    <div class="columns is-centered">
-      <div class="column is-full-width">
-        <h2 class="title is-3">Animation</h2>
-        <!-- Interpolating. -->
-        <h3 class="title is-4">Interpolating states</h3>
-        <div class="content has-text-justified">
-          <p>
-            We can also animate the scene by interpolating the deformation latent codes of two input
-            frames. Use the slider here to linearly interpolate between the left frame and the right
-            frame.
-          </p>
-        </div>
-        <div class="columns is-vcentered interpolation-panel">
-          <div class="column is-3 has-text-centered">
-            <img src="./static/images/interpolate_start.jpg"
-                 class="interpolation-image"
-                 alt="Interpolate start reference image."/>
-            <p>Start Frame</p>
-          </div>
-          <div class="column interpolation-video-column">
-            <div id="interpolation-image-wrapper">
-              Loading...
             </div>
-            <input class="slider is-fullwidth is-large is-info"
-                   id="interpolation-slider"
-                   step="1" min="0" max="100" value="0" type="range">
           </div>
-          <div class="column is-3 has-text-centered">
-            <img src="./static/images/interpolate_end.jpg"
-                 class="interpolation-image"
-                 alt="Interpolation end reference image."/>
-            <p class="is-bold">End Frame</p>
           </div>
         </div>
-        <br/>
-        <!--/ Interpolating. -->
-        <!-- Re-rendering. -->
-        <h3 class="title is-4">Re-rendering the input video</h3>
-        <div class="content has-text-justified">
-          <p>
-            Using <span class="dnerf">Nerfies</span>, you can re-render a video from a novel
-            viewpoint such as a stabilized camera by playing back the training deformations.
-          </p>
-        </div>
-        <div class="content has-text-centered">
-          <video id="replay-video"
-                 controls
-                 muted
-                 preload
-                 playsinline
-                 width="75%">
-            <source src="./static/videos/replay.mp4"
-                    type="video/mp4">
-          </video>
         </div>
-        <!--/ Re-rendering. -->
-      </div>
-    </div>
-    <!--/ Animation. -->
-    <!-- Concurrent Work. -->
-    <div class="columns is-centered">
-      <div class="column is-full-width">
-        <h2 class="title is-3">Related Links</h2>
-        <div class="content has-text-justified">
-          <p>
-            There's a lot of excellent work that was introduced around the same time as ours.
-          </p>
-          <p>
-            <a href="https://arxiv.org/abs/2104.09125" target="_blank">Progressive Encoding for Neural Optimization</a> introduces an idea similar to our windowed position encoding for coarse-to-fine optimization.
-          </p>
-          <p>
-            <a href="https://www.albertpumarola.com/research/D-NeRF/index.html" target="_blank">D-NeRF</a> and <a href="https://gvv.mpi-inf.mpg.de/projects/nonrigid_nerf/" target="_blank">NR-NeRF</a>
-            both use deformation fields to model non-rigid scenes.
-          </p>
-          <p>
-            Some works model videos with a NeRF by directly modulating the density, such as <a href="https://video-nerf.github.io/" target="_blank">Video-NeRF</a>, <a href="https://www.cs.cornell.edu/~zl548/NSFF/" target="_blank">NSFF</a>, and <a href="https://neural-3d-video.github.io/" target="_blank">DyNeRF</a>
-          </p>
-          <p>
-            There are probably many more by the time you are reading this. Check out <a href="https://dellaert.github.io/NeRF/" target="_blank">Frank Dellart's survey on recent NeRF papers</a>, and <a href="https://github.com/yenchenlin/awesome-NeRF" target="_blank">Yen-Chen Lin's curated list of NeRF papers</a>.
-          </p>
         </div>
       </div>
     </div>
-    <!--/ Concurrent Work. -->
   </div>
 </section>
-<section class="section" id="BibTeX">
-  <div class="container is-max-desktop content">
-    <h2 class="title">BibTeX</h2>
-    <pre><code>@article{park2021nerfies,
-  author    = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo},
-  title     = {Nerfies: Deformable Neural Radiance Fields},
-  journal   = {ICCV},
-  year      = {2021},
-}</code></pre>
-  </div>
-</section>
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-      <a class="icon-link" target="_blank"
-         href="./static/videos/nerfies_paper.pdf">
-        <i class="fas fa-file-pdf"></i>
-      </a>
-      <a class="icon-link" href="https://github.com/keunhong" target="_blank" class="external-link" disabled>
         <i class="fab fa-github"></i>
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@@ -414,17 +175,9 @@
       <div class="column is-8">
         <div class="content">
           <p>
-            This website is licensed under a <a rel="license" target="_blank"
-                                                href="http://creativecommons.org/licenses/by-sa/4.0/">Creative
             Commons Attribution-ShareAlike 4.0 International License</a>.
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-          <p>
-            This means you are free to borrow the <a target="_blank"
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@@ -432,4 +185,4 @@
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+  <meta name="description" content="DeepSeek: Advancing Open-Source Language Models">
+  <meta name="keywords" content="DeepSeek, LLM, AI">
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+  <title>DeepSeek: Advancing Open-Source Language Models</title>
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+          <h1 class="title is-1 publication-title">DeepSeek: Advancing Open-Source Language Models</h1>
           <div class="is-size-5 publication-authors">
+            A collection of groundbreaking research papers in AI and language models
           </div>
         </div>
       </div>
     </div>
   </div>
 </section>
 <section class="section">
   <div class="container is-max-desktop">
     <!-- Abstract. -->
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+        <h2 class="title is-3">Overview</h2>
         <div class="content has-text-justified">
           <p>
+            DeepSeek has released a series of significant papers detailing advancements in large language models (LLMs).
+            Each paper represents a step forward in making AI more capable, efficient, and accessible.
           </p>
         </div>
       </div>
     </div>
     <!--/ Abstract. -->
+    <!-- Paper Collection -->
     <div class="columns is-centered has-text-centered">
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+        <h2 class="title is-3">Research Papers</h2>
+        <!-- Paper 1 -->
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeekLLM: Scaling Open-Source Language Models with Longer-termism</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+            <div class="is-size-5 publication-authors">
+              Released: November 29, 2023
+            </div>
+          </div>
+          <div class="content has-text-justified">
+            <p>This foundational paper explores scaling laws and the trade-offs between data and model size,
+            establishing the groundwork for subsequent models.</p>
+          </div>
         </div>
+        <!-- Paper 2 -->
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+            <div class="is-size-5 publication-authors">
+              Released: May 2024
+            </div>
+          </div>
+          <div class="content has-text-justified">
+            <p>Introduces a Mixture-of-Experts (MoE) architecture, enhancing performance while reducing
+            training costs by 42%.</p>
+          </div>
         </div>
+        <!-- Additional papers following same structure -->
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeek-V3 Technical Report</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+            <div class="is-size-5 publication-authors">
+              Released: December 2024
+            </div>
+          </div>
+          <div class="content has-text-justified">
+            <p>Discusses the scaling of sparse MoE networks to 671 billion parameters.</p>
           </div>
         </div>
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeek-R1: Incentivizing Reasoning Capability in LLMs</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+            <div class="is-size-5 publication-authors">
+              Released: January 20, 2025
             </div>
           </div>
+          <div class="content has-text-justified">
+            <p>Enhances reasoning capabilities through large-scale reinforcement learning.</p>
           </div>
         </div>
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeekMath: Pushing the Limits of Mathematical Reasoning</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+            <div class="is-size-5 publication-authors">
+              Released: April 2024
+            </div>
+          </div>
+          <div class="content has-text-justified">
+            <p>Presents methods to improve mathematical reasoning in LLMs.</p>
+          </div>
         </div>
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeek-Prover: Advancing Theorem Proving in LLMs</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+          </div>
+          <div class="content has-text-justified">
+            <p>Focuses on enhancing theorem proving capabilities using synthetic data for training.</p>
+          </div>
+        </div>
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+          </div>
+          <div class="content has-text-justified">
+            <p>Details advancements in code-related tasks with emphasis on open-source methodologies.</p>
+          </div>
+        </div>
+        <div class="publication-block">
+          <div class="publication-header">
+            <h3 class="title is-4">DeepSeekMoE: Advancing Mixture-of-Experts Architecture</h3>
+            <span class="tag is-primary is-medium">Deep Dive Coming Soon</span>
+          </div>
+          <div class="content has-text-justified">
+            <p>Discusses the integration and benefits of the Mixture-of-Experts approach.</p>
+          </div>
         </div>
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