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3d shape reconstruction from sketches via multi-view convolutional networks
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 …
drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a …
Directional field synthesis, design, and processing
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 …
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 …
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
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 …
many scenarios, including cartoon characters, avatars for social media, 3D face caricatures …
[PDF][PDF] OpenSketch: a richly-annotated dataset of product design sketches.
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 …
as documented in popular design sketching textbooks [Eissen and Steur 2008, 2011; Pipes …
Bendsketch: Modeling freeform surfaces through 2d sketching
Sketch-based modeling provides a powerful paradigm for geometric modeling. Recent
research had shown, sketch based modeling methods are most effective when targeting a …
research had shown, sketch based modeling methods are most effective when targeting a …
Reconstructing 3D shapes from multiple sketches using direct shape optimization
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 …
shape modeling. Currently, state-of-the-art methods employ neural networks to learn a …
Variational implicit point set surfaces
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 …
set. While existing methods often involve non-trivial heuristics and require additional …
Towards practical sketch-based 3d shape generation: The role of professional sketches
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 …
professional 2D sketches via deep learning. We target sketches done by professional artists …
Neural parametric surfaces for shape modeling
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 …
modeling has opened up exciting avenues. However, there is a conspicuous lack of …