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Nerfshop: Interactive editing of neural radiance fields
Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …
[ספר][B] Computational topology: an introduction
H Edelsbrunner, J Harer - 2010 - books.google.com
Combining concepts from topology and algorithms, this book delivers what its title promises:
an introduction to the field of computational topology. Starting with motivating problems in …
an introduction to the field of computational topology. Starting with motivating problems in …
Primal-dual mesh convolutional neural networks
Recent works in geometric deep learning have introduced neural networks that allow
performing inference tasks on three-dimensional geometric data by defining convolution …
performing inference tasks on three-dimensional geometric data by defining convolution …
[ספר][B] Topology for computing
AJ Zomorodian - 2005 - books.google.com
The emerging field of computational topology utilizes theory from topology and the power of
computing to solve problems in diverse fields. Recent applications include computer …
computing to solve problems in diverse fields. Recent applications include computer …
A lightweight approach to repairing digitized polygon meshes
When designing novel algorithms for geometric processing and analysis, researchers often
assume that the input conforms to several requirements. On the other hand, polygon meshes …
assume that the input conforms to several requirements. On the other hand, polygon meshes …
[ספר][B] Handbook of data structures and applications
Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …
until now there was no book that focused exclusively on the wide variety of data structures …
Neural subdivision
This paper introduces Neural Subdivision, a novel framework for data-driven coarse-to-fine
geometry modeling. During inference, our method takes a coarse triangle mesh as input and …
geometry modeling. During inference, our method takes a coarse triangle mesh as input and …
All-hex meshing using singularity-restricted field
Decomposing a volume into high-quality hexahedral cells is a challenging task in geometric
modeling and computational geometry. Inspired by the use of cross field in quad meshing …
modeling and computational geometry. Inspired by the use of cross field in quad meshing …
Computing topological persistence for simplicial maps
Algorithms for persistent homology are well-studied where homomorphisms are induced by
inclusion maps. In this paper, we propose a practical algorithm for computing persistence …
inclusion maps. In this paper, we propose a practical algorithm for computing persistence …
A finite element method for animating large viscoplastic flow
We present an extension to Lagrangian finite element methods to allow for large plastic
deformations of solid materials. These behaviors are seen in such everyday materials as …
deformations of solid materials. These behaviors are seen in such everyday materials as …