http://www.vovakim.com/papers_small/14_SIGCourse_StructAware.pdf WebAug 4, 2024 · We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function. Complex 3D shapes often can be summarized using a coarsely defined structure …
(PDF) Structure-aware Building Mesh Polygonization - ResearchGate
WebStructure-aware shape processing goes beyond local geometry and low level processing … Webet al. 2024) where landmark-based structure priors are used for structure-aware shape generation. In (Wang et al. 2024a), 3D shapes are generated with part labeling based on GAN and then refined using a pre-trained part refiner. Our method takes a reverse process where we first generate parts and then their assembling transformations. starch bottle
Learning Part Generation and Assembly for Structure-aware …
WebPart analysis lies at the core of structure-aware shape processing. Extracting parts from a … WebAug 1, 2024 · We introduce StructureNet, a hierarchical graph network which (i) can directly encode shapes represented as such n-ary graphs; (ii) can be robustly trained on large and complex shape families; and (iii) can be used to generate a great diversity of realistic structured shape geometries. WebNov 28, 2024 · To summarize, this paper makes four contributions: we propose an end-to-end trainable model (GSIR) to jointly reason 3D shape interpretation and reconstruction; we develop a structure-guided 3D reconstruction algorithm; we develop a novel end-to-end trainable loss that ensures consistency between estimated structure and partially … petco in council bluffs ia