3d shape reconstruction from sketches via multi-view convolutional networks

Z Lun, M Gadelha, E Kalogerakis… - … Conference on 3D …, 2017 - ieeexplore.ieee.org
We propose a method for reconstructing 3D shapes from 2D sketches in the form of line
drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a …

Directional field synthesis, design, and processing

A Vaxman, M Campen, O Diamanti… - Computer graphics …, 2016 - Wiley Online Library
Direction fields and vector fields play an increasingly important role in computer graphics
and geometry processing. The synthesis of directional fields on surfaces, or other spatial …

A survey of sketch based modeling systems

C Ding, L Liu - Frontiers of Computer Science, 2016 - Springer
As 3D technology, including computer graphics, virtual reality and 3D printing, has been
rapidly developed in the past years, 3D models are gaining an increasingly huge demand …

DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling

X Han, C Gao, Y Yu - ACM Transactions on graphics (TOG), 2017 - dl.acm.org
Face modeling has been paid much attention in the field of visual computing. There exist
many scenarios, including cartoon characters, avatars for social media, 3D face caricatures …

[PDF][PDF] OpenSketch: a richly-annotated dataset of product design sketches.

Y Gryaditskaya, M Sypesteyn, JW Hoftijzer… - ACM Trans …, 2019 - academia.edu
Product designers extensively use sketching to reason and communicate about 3D shapes,
as documented in popular design sketching textbooks [Eissen and Steur 2008, 2011; Pipes …

Bendsketch: Modeling freeform surfaces through 2d sketching

C Li, H Pan, Y Liu, X Tong, A Sheffer… - ACM Transactions on …, 2017 - dl.acm.org
Sketch-based modeling provides a powerful paradigm for geometric modeling. Recent
research had shown, sketch based modeling methods are most effective when targeting a …

Reconstructing 3D shapes from multiple sketches using direct shape optimization

Z Han, B Ma, YS Liu, M Zwicker - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
3D shape reconstruction from multiple hand-drawn sketches is an intriguing way to 3D
shape modeling. Currently, state-of-the-art methods employ neural networks to learn a …

Variational implicit point set surfaces

Z Huang, N Carr, T Ju - ACM Transactions on Graphics (TOG), 2019 - dl.acm.org
We propose a new method for reconstructing an implicit surface from an un-oriented point
set. While existing methods often involve non-trivial heuristics and require additional …

Towards practical sketch-based 3d shape generation: The role of professional sketches

Y Zhong, Y Qi, Y Gryaditskaya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, for the first time, we investigate the problem of generating 3D shapes from
professional 2D sketches via deep learning. We target sketches done by professional artists …

Neural parametric surfaces for shape modeling

L Yang, Y Liang, X Li, C Zhang, G Lin, A Sheffer… - arxiv preprint arxiv …, 2023 - arxiv.org
The recent surge of utilizing deep neural networks for geometric processing and shape
modeling has opened up exciting avenues. However, there is a conspicuous lack of …