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MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices
We’ve developed a lightweight, efficient supersampling framework for real-time rendering on low-power devices, that reconstructs high-quality images and ensures temporal stability.
Sipeng Yang
,
Yunlu Zhao
,
Yuzhe Luo
,
He Wang
,
Hongyu Sun
,
Chen Li
,
Binghuang Cai
,
Xiaogang Jin
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GlyphCreator: Towards Example-based Automatic Generation of Circular Glyphs
GlyphCreator is an interactive tool that uses deep learning to generate and customize circular glyphs from data and sample glyphs, simplifying the design process.
Lu Ying
,
Tan Tang
,
Yuzhe Luo
,
Lvkeshen Shen
,
Xiao Xie
,
Lingyun Yu
,
Yingcai Wu
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