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Shapenet Illuminants - dataset from "Zero-Shot Day-Night Domain Adaptation with a Physics Prior"

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4TU.ResearchData2021-08-12 更新2026-04-23 收录
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Shapenet Illuminants is the synthetic classification dataset used in the ICCV '21 publication "Zero-Shot Day-Night Domain Adaptation with a Physics Prior". The images have been rendered from the ShapeNet dataset using the Mitsuba rendering engine. See the readme for more information on using the dataset.<br><b>ArXiv</b>: https://arxiv.org/abs/2108.05137<b>Code</b>: https://github.com/Attila94/CIConv<br>If you find this dataset useful, please cite:@article{lengyel2021zeroshot, title={Zero-Shot Domain Adaptation with a Physics Prior}, author={Attila Lengyel and Sourav Garg and Michael Milford and Jan C. van Gemert}, year={2021}, eprint={2108.05137}, archivePrefix={arXiv}, primaryClass={cs.CV}}

Shapenet Illuminants数据集是发表于ICCV 2021的论文《基于物理先验的零样本昼夜域自适应》(Zero-Shot Day-Night Domain Adaptation with a Physics Prior)中使用的合成分类数据集。该数据集的图像均通过Mitsuba渲染引擎(Mitsuba)基于ShapeNet数据集(ShapeNet)渲染生成。更多数据集使用相关细节,请参阅其自述文件(readme)。 **ArXiv**:https://arxiv.org/abs/2108.05137 **代码**:https://github.com/Attila94/CIConv 若您使用该数据集,请引用以下文献: @article{lengyel2021zeroshot, title={Zero-Shot Domain Adaptation with a Physics Prior}, author={Attila Lengyel and Sourav Garg and Michael Milford and Jan C. van Gemert}, year={2021}, eprint={2108.05137}, archivePrefix={arXiv}, primaryClass={cs.CV}}
创建时间:
2021-08-12
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