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- W4288335770 abstract "We provide a system for semantic segmentation of small objects that enables nail polish try-on AR applications to run client-side in realtime in native and web mobile applications. By adjusting input resolution and neural network depth, our model design enables a smooth trade-off of performance and runtime, with the highest performance setting achieving~num{94.5} mIoU at 29.8ms runtime in native applications on an iPad Pro. We also provide a postprocessing and rendering algorithm for nail polish try-on, which integrates with our semantic segmentation and fingernail base-tip direction predictions." @default.
- W4288335770 created "2022-07-29" @default.
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- W4288335770 date "2019-06-05" @default.
- W4288335770 modified "2023-10-01" @default.
- W4288335770 title "Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications" @default.
- W4288335770 doi "https://doi.org/10.48550/arxiv.1906.02222" @default.
- W4288335770 hasPublicationYear "2019" @default.
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