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- license: apache-2.0
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - 3D
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+ - Gaussian
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+ ---
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+
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+ 3D Segmentation HQ Dataset
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+ The 3D Segmentation HQ dataset is a curated collection of 5 real-world scenes with high-quality object segmentation masks designed for research in 3D scene understanding, editing, and rendering.
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+ This dataset improves upon existing benchmarks by providing cleaner and more consistent object masks across multiple views, enabling reliable evaluation and training for tasks such as:
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+ - 3D semantic segmentation
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+ - Object-level scene editing (e.g., removal, recolorization)
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+ - 3D Gaussian Splatting with semantic supervision
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+
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+ ------------------------------------------
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+ Dataset Composition
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+ Total Scenes: 5 real-world scenes
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+ Source Datasets:
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+ 3 scenes are adapted from the LERF dataset (https://arxiv.org/abs/2303.09553)
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+ 2 scenes are adapted from the LLFF dataset (https://huggingface.co/datasets/nerfbaselines/nerfbaselines-data)
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+ Each scene is re-processed with HQ object segmentation masks to ensure multi-view consistency, reducing the noise and inconsistencies commonly found in previous datasets.