Results 41 to 50 of about 2,321,763 (277)
Denoise and Contrast for Category Agnostic Shape Completion [PDF]
Accepted at CVPR ...
Antonio Alliegro +4 more
openaire +2 more sources
The SHAPE-ID Toolkit: Overview, trajectories, and user guidance
This document describes how the SHAPE-ID Toolkit came into being and explains its overall structure and current state. In order to preserve the guidance for users of the online toolkit, it compiles the content of the toolkit ‘entry page’, ‘about ...
SHAPE-ID project
core +1 more source
Complete Shape Metric and Geodesic [PDF]
We develop the framework for moving domain and geometry under minimal regularity (of moving boundaries). This question arose in shape control analysis and non cylindrical PDE analysis. We apply here this setting to the morphic measure between shape or images.
openaire +2 more sources
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis [PDF]
We introduce a data-driven approach to complete partial 3D shapes through a combination of volumetric deep neural networks and 3D shape synthesis. From a partially-scanned input shape, our method first infers a low-resolution -- but complete -- output.
Angela Dai +2 more
openaire +2 more sources
Body Shape-Aware Object-Level Outfit Completion for Full-Body Portrait Images
Modeling fashion compatibility between different categories of items and forming personalized outfits have become important topics in recommender systems recently.
Xiaoya Chong, Howard Leung
doaj +1 more source
FACNet: Feature alignment fast point cloud completion network
Point cloud completion aims to infer complete point clouds based on partial 3D point cloud inputs. Various previous methods apply coarse-to-fine strategy networks for generating complete point clouds.
Xinxing Yu +4 more
doaj +1 more source
Global Visual Completion of Quasi-Regular Shapes [PDF]
The topic of amodal completion has often been investigated by using partly occluded shapes that are regular. In research that has typically been done with displays such as these regular shapes, it has been shown that global aspects of a shape can determine completion.
Wit, T.C.J. de, Lier, R.J. van
openaire +4 more sources
Automatic Implant Generation for Cranioplasty via Occupancy Networks
The design of patient-specific implants for cranioplasty surgery is time-consuming and challenging. Hence, the 2021 AutoImplant II challenge, consisting of the SkullBreak and SkullFix datasets, was organized to foster research on computer vision ...
Stefano Mazzocchetti +5 more
doaj +1 more source
Deformable Shape Completion with Graph Convolutional Autoencoders [PDF]
The availability of affordable and portable depth sensors has made scanning objects and people simpler than ever. However, dealing with occlusions and missing parts is still a significant challenge. The problem of reconstructing a (possibly non-rigidly moving) 3D object from a single or multiple partial scans has received increasing attention in recent
Or Litany +3 more
openaire +3 more sources
Point completion by a Stack‐Style Folding Network with multi‐scaled graphical features
Point cloud completion is prevalent due to the insufficient results from current point cloud acquisition equipments, where a large number of point data failed to represent a relatively complete shape.
Yunbo Rao +3 more
doaj +1 more source

