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README.md
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@@ -173,44 +173,45 @@ homepage: https://vlar-group.github.io/PhysInOne.html
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<div class="physinone-card" style="
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<aside style="
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<strong>๐งญ Navigation</strong><br><br>
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<a href="#summary">๐ Summary</a><br>
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<a href="#release-timetable">๐ Release Timetable</a><br>
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<a href="#dataset-structure">๐ฆ Dataset Structure</a><br>
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<a href="#data-splits">๐ Data Splits</a><br>
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<a href="#data-fields">๐งฉ Data Fields</a><br>
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<a href="#annotation-details">๐ Annotation Details</a><br>
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<a href="#how-to-download">๐ฅ How to Download</a><br>
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<a href="#license">๐ License</a><br>
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<a href="#citation">๐ Citation</a><br>
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<a href="#contact">๐ฎ Contact</a><br>
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</aside>
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<main style="min-width: 0;
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<h2 id="summary" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Summary</h2>
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<div style="margin-left: 24px;">
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**PhysInOne** is a large-scale synthetic dataset for visual physics learning and reasoning. It contains **153,810 dynamic 3D scenes** and **2 million annotated videos**, covering **71 basic physical phenomena** across four domains of everyday physics: **mechanics**, **optics**, **fluid dynamics**, and **magnetism**.
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Each scene may contain multi-object and multi-physics interactions in complex 3D environments. PhysInOne provides rich annotations including RGB videos, depth maps, object masks, 3D trajectories, camera poses, object meshes, material properties, and textual descriptions.
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</div>
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<div style="padding: 12px; border: 1px solid #e5e7eb; border-radius: 10px; background: #fafafa;">
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<strong>
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<span style="font-size: 13px;">Annotated videos</span>
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</div>
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<h2 id="release-timetable" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Release Timetable</h2>
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<div style="margin-left: 24px;">
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| Component | Progress | Status | Notes |
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| --------------------- | ----------------------------- | ------------ | --------------------------------- |
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| SubSet | `โโโโโโโโโโ`100% | Released | |
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<h2 id="dataset-structure" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ฆ Dataset Structure</h2>
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<div style="margin-left: 24px;">
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TODO
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</div>
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<h2 id="data-splits" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Data Splits</h2>
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<div style="margin-left: 24px;">
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PhysInOne is divided into three primary splits: **Train**, **Val**, and **Test**.
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- Train Split: contains 122,988 scenes.
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<h2 id="data-fields" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐งฉ Data Fields</h2>
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<div style="margin-left: 24px;">
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<div style="margin-left: 16px;">
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<details>
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<summary>Click to expand full abbreviation table</summary>
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<h2 id="annotation-details" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Annotation Details</h2>
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<div style="margin-left: 24px;">
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PhysInOne provides synchronized visual and physical annotations for each dynamic 3D scene.
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<h3 id="depth" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">
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<div style="margin-left: 16px;">
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Depth maps are provided in `.npz` format and are expressed in meters.
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</div>
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<h3 id="segmentation" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">
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<div style="margin-left: 16px;">
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Segmentation masks encode background, static foreground objects, and dynamic foreground objects.
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Expected encoding:
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</div>
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<h3 id="captions" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">
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<div style="margin-left: 16px;">
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Each scene includes a `caption.txt` file containing an English paragraph that describes the visual elements and the physical activity.
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</div>
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<h3 id="trajectories" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">
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<div style="margin-left: 16px;">
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TODO
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</div>
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<h3 id="cameras" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">
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<div style="margin-left: 16px;">
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Each scene includes multiple camera viewpoints to support 3D perception, reconstruction, and physics-based visual reasoning tasks.
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- Taichi-based MPM simulations (elastic solids, plasticine, granular substances, some Newtonian and Non-Newtonian fluids): 15 static cameras + 1 dynamic camera
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<h3 id="point-clouds" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">
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<div style="margin-left: 16px;">
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Each scene should include `points.ply`.
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The initial point cloud was obtained by back-projecting the pixels from each camera view in the first frame based on depth, followed by randomly sampling 100,000 points from the resulting data.
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</a>
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</p>
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<div class="physinone-card" style="position: relative; line-height: 1.4;">
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<aside style="position: fixed; top: 96px; left: 24px; width: 260px; max-height: calc(100vh - 120px); overflow-y: auto; padding: 16px; border: 1px solid #e5e7eb; border-radius: 12px; background: #f9fafb; font-size: 13.5px; line-height: 1.55; z-index: 20;">
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<strong>๐งญ Navigation</strong><br><br>
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<a href="#summary">๐ Summary</a><br>
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<a href="#release-timetable">๐ Release Timetable</a><br>
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<a href="#dataset-structure">๐ฆ Dataset Structure</a><br>
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<a href="#data-splits">๐ Data Splits</a><br>
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<a href="#data-fields">๐งฉ Data Fields</a><br>
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โข <a href="#physical-phenomena">Physical Phenomena</a><br>
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<a href="#annotation-details">๐ Annotation Details</a><br>
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โข <a href="#depth">Depth</a><br>
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โข <a href="#segmentation">Segmentation</a><br>
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โข <a href="#captions">Captions</a><br>
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โข <a href="#trajectories">Trajectories</a><br>
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โข <a href="#cameras">Cameras</a><br>
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โฆ <a href="#camera-json-structure">Camera JSON structure</a><br>
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โฆ <a href="#dynamic-camera-behavior">Dynamic camera behavior</a><br>
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โข <a href="#point-clouds">Point Clouds</a><br>
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<a href="#how-to-download">๐ฅ How to Download</a><br>
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<a href="#download-scripts">1. Download Scripts</a><br>
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<a href="#install-dependencies">2. Install Dependencies</a><br>
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<a href="#filter-cases">3. Filter Cases</a><br>
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<a href="#filter-by-split">3.1 Split</a><br>
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<a href="#filter-by-split-and-activity">3.2 Split + Activity</a><br>
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<a href="#filter-by-phenomenon">3.3 Phenomenon</a><br>
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<a href="#random-sampling">3.4 Random Sampling</a><br>
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<a href="#download-selected-cases">4. Download Cases</a><br>
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<a href="#license">๐ License</a><br>
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<a href="#citation">๐ Citation</a><br>
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<a href="#contact">๐ฎ Contact</a><br>
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</aside>
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<main style="min-width: 0; line-height: 1.38; font-size: 15px; margin-left: 310px; max-width: calc(100% - 330px);">
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<h2 id="summary" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Summary</h2>
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<div style="margin-left: 24px;">
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**PhysInOne** is a large-scale synthetic dataset for visual physics learning and reasoning. It contains **153,810 dynamic 3D scenes** and **2 million annotated videos**, covering **71 basic physical phenomena** across four domains of everyday physics: **mechanics**, **optics**, **fluid dynamics**, and **magnetism**.
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Each scene may contain multi-object and multi-physics interactions in complex 3D environments. PhysInOne provides rich annotations including RGB videos, depth maps, object masks, 3D trajectories, camera poses, object meshes, material properties, and textual descriptions.
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</div>
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<div style="padding: 12px; border: 1px solid #e5e7eb; border-radius: 10px; background: #fafafa;">
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<strong>2M</strong><br>
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<span style="font-size: 13px;">Annotated videos</span>
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</div>
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<h2 id="release-timetable" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Release Timetable</h2>
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<div style="margin-left: 24px;">
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| Component | Progress | Status | Notes |
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| SubSet | `โโโโโโโโโโ`100% | Released | |
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<h2 id="dataset-structure" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ฆ Dataset Structure</h2>
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<div style="margin-left: 24px;">
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TODO
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</div>
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<h2 id="data-splits" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Data Splits</h2>
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<div style="margin-left: 24px;">
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PhysInOne is divided into three primary splits: **Train**, **Val**, and **Test**.
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- Train Split: contains 122,988 scenes.
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<h2 id="data-fields" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐งฉ Data Fields</h2>
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<div style="margin-left: 24px;">
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<h3 id="physical-phenomena" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Physical Phenomenon and Abbreviations</h3>
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<div style="margin-left: 16px;">
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<details>
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<summary>Click to expand full abbreviation table</summary>
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<h2 id="annotation-details" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">๐ Annotation Details</h2>
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<div style="margin-left: 24px;">
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PhysInOne provides synchronized visual and physical annotations for each dynamic 3D scene.
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<h3 id="depth" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Depth</h3>
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Depth maps are provided in `.npz` format and are expressed in meters.
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</div>
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<h3 id="segmentation" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Segmentation</h3>
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<div style="margin-left: 16px;">
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Segmentation masks encode background, static foreground objects, and dynamic foreground objects.
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Expected encoding:
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</div>
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<h3 id="captions" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Captions</h3>
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<div style="margin-left: 16px;">
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Each scene includes a `caption.txt` file containing an English paragraph that describes the visual elements and the physical activity.
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</div>
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<h3 id="trajectories" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Trajectories</h3>
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<div style="margin-left: 16px;">
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TODO
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</div>
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<h3 id="cameras" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Cameras</h3>
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Each scene includes multiple camera viewpoints to support 3D perception, reconstruction, and physics-based visual reasoning tasks.
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- Taichi-based MPM simulations (elastic solids, plasticine, granular substances, some Newtonian and Non-Newtonian fluids): 15 static cameras + 1 dynamic camera
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</div>
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</div>
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<h3 id="point-clouds" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Point Clouds</h3>
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Each scene should include `points.ply`.
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The initial point cloud was obtained by back-projecting the pixels from each camera view in the first frame based on depth, followed by randomly sampling 100,000 points from the resulting data.
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