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"name": "ngs-transparency-datasets",
"description": "A collection of four datasets (stones, objects, DTU, OmniObject3D) augmented with noise Gaussian infills to benchmark the 'false transparency' artifact in 3D Gaussian Splatting, as presented in the paper 'Fix False Transparency by Noise Guided Splatting'.",
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"citeAs": "@inproceedings{elhakie2025ngs, title={Fix False Transparency by Noise Guided Splatting}, author={El Hakie, Aly and Lu, Yiren and Yin, Yu and Jenkins, Michael and Liu, Yehe}, booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}, year={2025} }",
"license": "Mixed. The 'stones' and 'objects' datasets, along with all generated 'inside_gaussians.ply' files, are licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). The 'DTU' and 'OmniObject3D' subsets are subject to their original licenses.",
"url": "https://huggingface.co/datasets/OpsiClear/stones",
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