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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
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