![[CVPR 2023] NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images](https://i.ytimg.com/vi/QENcCjkydug/mqdefault.jpg)
![[CVPR 2023] NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images](https://i.ytimg.com/vi/GQNaW8GZOsM/mqdefault.jpg)
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Last Updated: October 17, 2026
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How can we describe two-dimensional We extend the idea that gradients are perpendicular to level curves to general Euclidean spaces. 40th session of the shape seminar in Paris - 28 April 2026. Mark Gillespie (Inria Saclay, University of Utah) presents a new data ... Authors: Zhongpai Gao (Shanghai Jiao Tong University )* Description: Subject : Mathematics Course Name : Shape Modelling Welcome to Swayam Prabha! Description: Welcome to CH 36: IIT ... Website: xmeng525.github.io/xiaoxumeng.github.io/projects/cvpr23_neat Abstract: Recent progress in neural This is a recording from the Eurographics Symposium on Geometry Processing Graduate School 2026 at the University of Bern, ... PDF: papers.nips.cc/paper/9039-learning-to-infer-
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