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neus	查看　neus　在Google字典中的解釋	Google英翻中〔查看〕
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GitHub - Totoro97 NeuS: Code release for NeuS · GitHub
We present a novel neural surface reconstruction method, called NeuS (pronunciation: nuːz , same as "news"), for reconstructing objects and scenes with high fidelity from 2D image inputs
[2106. 10689] NeuS: Learning Neural Implicit Surfaces by Volume . . .
We present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D image inputs
NeuS 2026 - Google Sites
NeuS aims to bring together novel concepts, theories, and practices that can help in the development of the science and application of neuro-symbolic computing and systems
NeuS
NeuS seeks to bring together researchers to develop the interdisciplinary field of neurosymbolic systems spanning theory, design, tools, and applications
论文笔记：NeuS: Learning Neural Implicit Surfaces by Volume Rendering for . . .
本文介绍了一种结合SDF与体渲染技术的多视图重建方法NeuS。通过引入S-density桥接SDF网络与体渲染，实现了仅使用2D图像进行高效监督训练。文中详细探讨了加权函数的设计与改进，以及离散化处理等关键技术。
NeuS | Proceedings of the 35th International Conference on Neural . . .
Abstract We present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D image inputs
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi . . .
We present a novel neural surface reconstruction method, called NeuS (pronunciation: nuːz , same as "news"), for reconstructing objects and scenes with high fidelity from 2D image inputs
NeuS 2025
NeuS aims to bring together novel concepts, theories, and practices that can help in the development of the science and application of neuro-symbolic computing and systems
GitHub - 19reborn NeuS2: [ICCV 2023] Official code for NeuS2
NeuS2 is a method for fast neural surface reconstruction, which achieves two orders of magnitude improvement in terms of acceleration without compromising reconstruction quality, compared to NeuS
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi . . .
Abstract We present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D image inputs

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