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eRF (神经辐射场)
Neural Radiance Fields
神经辐射场(Neural Radiance Fields,NeRF),是一种基于深度学习的三维重建技术。该技术最初由Mildenhall等人提出,并在2020年得到了广泛的关注。与传统的三维重建技术不同,NeRF并不依赖于已知的三维模型或场景几何形状,而是通过学习复合函数来描述三维空间中点处的辐射场。因此,即使处理复杂的场景,使用NeRF依然能够快速、精确地进行三维重建。
NeRF is a type of 3D reconstruction technique based on deep learning. Initially proposed by Mildenhall, it gained widespread attention in 2020. Unlike traditional 3D reconstruction techniques, NeRF does not rely on known 3D models or scene geometry, but instead uses a learned composite function to describe the radiance field at each point in 3D space.
太理风光
未来虚拟世界必将成为我们生活的主体,这个虚拟世界里能创造一花一草,一山一海。每一个建筑,每一个种族,每一个职业,都具有独特的设计。
View of TYUT
In the future, the virtual world will become the main body of our life. In this virtual
world, we can create a flower, a grass, a mountain and a sea. Every building, every race,
every profession. All have unique design.