FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3110366555> ?p ?o ?g. }

• W3110366555 abstract "Reconstructing continuous surfaces from 3D point clouds is a fundamental operation in 3D geometry processing. Several recent state-of-the-art methods address this problem using neural networks to learn signed distance functions (SDFs). In this paper, we introduce textit{Neural-Pull}, a new approach that is simple and leads to high quality SDFs. Specifically, we train a neural network to pull query 3D locations to their closest points on the surface using the predicted signed distance values and the gradient at the query locations, both of which are computed by the network itself. The pulling operation moves each query location with a stride given by the distance predicted by the network. Based on the sign of the distance, this may move the query location along or against the direction of the gradient of the SDF. This is a differentiable operation that allows us to update the signed distance value and the gradient simultaneously during training. Our outperforming results under widely used benchmarks demonstrate that we can learn SDFs more accurately and flexibly for surface reconstruction and single image reconstruction than the state-of-the-art methods." @default.
• W3110366555 created "2020-12-07" @default.
• W3110366555 creator A5014079156 @default.
• W3110366555 creator A5034970671 @default.
• W3110366555 creator A5042932900 @default.
• W3110366555 creator A5068597652 @default.
• W3110366555 date "2020-11-26" @default.
• W3110366555 modified "2023-09-26" @default.
• W3110366555 title "Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces" @default.
• W3110366555 cites W1992642990 @default.
• W3110366555 cites W2121535648 @default.
• W3110366555 cites W2229412420 @default.
• W3110366555 cites W2342277278 @default.
• W3110366555 cites W2560722161 @default.
• W3110366555 cites W2798670728 @default.
• W3110366555 cites W2885317998 @default.
• W3110366555 cites W2914390273 @default.
• W3110366555 cites W2944579304 @default.
• W3110366555 cites W2962778872 @default.
• W3110366555 cites W2962849139 @default.
• W3110366555 cites W2963123724 @default.
• W3110366555 cites W2963443993 @default.
• W3110366555 cites W2963627347 @default.
• W3110366555 cites W2963926543 @default.
• W3110366555 cites W2964310454 @default.
• W3110366555 cites W2965157662 @default.
• W3110366555 cites W2970899367 @default.
• W3110366555 cites W2970936521 @default.
• W3110366555 cites W2971278627 @default.
• W3110366555 cites W2972931660 @default.
• W3110366555 cites W2973014570 @default.
• W3110366555 cites W2981657250 @default.
• W3110366555 cites W2981978060 @default.
• W3110366555 cites W2982006683 @default.
• W3110366555 cites W2990173985 @default.
• W3110366555 cites W2997460259 @default.
• W3110366555 cites W3009750677 @default.
• W3110366555 cites W3034196047 @default.
• W3110366555 cites W3034259269 @default.
• W3110366555 cites W3034395814 @default.
• W3110366555 cites W3034493208 @default.
• W3110366555 cites W3034603747 @default.
• W3110366555 cites W3034950592 @default.
• W3110366555 cites W3034964128 @default.
• W3110366555 cites W3034968345 @default.
• W3110366555 cites W3035292206 @default.
• W3110366555 cites W3035378760 @default.
• W3110366555 cites W3035507572 @default.
• W3110366555 cites W3035515538 @default.
• W3110366555 cites W3035591705 @default.
• W3110366555 cites W3044532657 @default.
• W3110366555 cites W3049750358 @default.
• W3110366555 cites W3083861253 @default.
• W3110366555 cites W3093319304 @default.
• W3110366555 cites W3094208378 @default.
• W3110366555 cites W3095473874 @default.
• W3110366555 cites W3103242287 @default.
• W3110366555 cites W3103313582 @default.
• W3110366555 cites W3106229635 @default.
• W3110366555 cites W3107341168 @default.
• W3110366555 cites W3108625339 @default.
• W3110366555 cites W3109585842 @default.
• W3110366555 cites W3117476483 @default.
• W3110366555 cites W3118881191 @default.
• W3110366555 cites W3121736960 @default.
• W3110366555 cites W3123674811 @default.
• W3110366555 cites W3125160562 @default.
• W3110366555 cites W3126517808 @default.
• W3110366555 cites W3157365128 @default.
• W3110366555 cites W3170469318 @default.
• W3110366555 cites W3170754649 @default.
• W3110366555 cites W3202037070 @default.
• W3110366555 hasPublicationYear "2020" @default.
• W3110366555 type Work @default.
• W3110366555 sameAs 3110366555 @default.
• W3110366555 citedByCount "2" @default.
• W3110366555 countsByYear W31103665552021 @default.
• W3110366555 crossrefType "posted-content" @default.
• W3110366555 hasAuthorship W3110366555A5014079156 @default.
• W3110366555 hasAuthorship W3110366555A5034970671 @default.
• W3110366555 hasAuthorship W3110366555A5042932900 @default.
• W3110366555 hasAuthorship W3110366555A5068597652 @default.
• W3110366555 hasConcept C11413529 @default.
• W3110366555 hasConcept C131979681 @default.
• W3110366555 hasConcept C134306372 @default.
• W3110366555 hasConcept C139676723 @default.
• W3110366555 hasConcept C154945302 @default.
• W3110366555 hasConcept C202615002 @default.
• W3110366555 hasConcept C2524010 @default.
• W3110366555 hasConcept C2776799497 @default.
• W3110366555 hasConcept C28719098 @default.
• W3110366555 hasConcept C31972630 @default.
• W3110366555 hasConcept C33923547 @default.
• W3110366555 hasConcept C41008148 @default.
• W3110366555 hasConcept C50644808 @default.
• W3110366555 hasConcept C71169176 @default.
• W3110366555 hasConceptScore W3110366555C11413529 @default.
• W3110366555 hasConceptScore W3110366555C131979681 @default.
• W3110366555 hasConceptScore W3110366555C134306372 @default.
• W3110366555 hasConceptScore W3110366555C139676723 @default.

• next