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license: apache-2.0 |
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--- |
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# Infinigen Stereo Video Dataset (InfinigenSV) |
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## Dataset Summary |
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**InfinigenSV** is a synthetic stereo video dataset constructed using the photorealistic 3D environment engine Infinigen. |
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It contains high-resolution stereo video sequences across diverse natural outdoor scenes such as forests, mountains, rivers, and rocky terrains, |
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simulating real-world complexity with controlled camera motion and lighting. |
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The dataset is designed to support research on stereo video matching, temporal consistency, and 3D scene understanding, especially under challenging conditions like textureless surfaces, fine geometry, and dynamic parallax. |
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Ground-truth depth maps, along with full camera intrinsics/extrinsics, are provided per frame. |
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## Dataset Structure |
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The folder structure of the dataset is organized by scene categories and sequences: |
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```bash |
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/data/datasets/InfinigenSV/ |
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βββ train/ |
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β βββ 2873f0f/ |
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β βββ frames/ |
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β β βββ Image/ |
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β βββ camera_0/ |
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β β β βββ Image_0_0_0001_0.npy |
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β β β βββ Image_0_0_0002_0.npy |
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β βββ camera_1/ |
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β β βββ Depth/ |
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β βββ camera_0/ |
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β β β βββ Depth_0_0_0001_0.npy |
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β β β βββ Depth_0_0_0002_0.npy |
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β βββ camera_1/ |
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β β βββ camview/ |
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β βββ camera_0/ |
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β β β βββ camview_0_0_0001_0.npz |
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β β β βββ camview_0_0_0002_0.npz |
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β βββ camera_1/ |
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βββ val/ |
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βββ test/ |
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βββ ... |
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``` |
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### Data Instances |
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Each data instance corresponds to a single stereo frame in a video sequence and includes the following fields: |
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| Field | Type | Description | |
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|-----------------|-----------|-------------------------------------------------------| |
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| `left` | RGB image | Left view of the stereo pair (720Γ1280Γ3) | |
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| `right` | RGB image | Right view of the stereo pair (720Γ1280Γ3) | |
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| `depth` | depth file | Depth in meters (720Γ1280Γ3) | |
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| `camview` | camera file | Camera intrinsics and extrinsics per frame | |
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### License |
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The code is under MIT license. |
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Infinigen SV dataset is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)). |
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## Citation Information |
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``` |
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@article{jing2024match, |
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title={Match Stereo Videos via Bidirectional Alignment}, |
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author={Junpeng Jing and Ye Mao and Anlan Qiu and Krystian Mikolajczyk}, |
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year={2024} |
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} |
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``` |