Generation of 3D human models and animations using simple sketches

2020-01-01
Akman, Alican
Sahillioğlu, Yusuf
Sezgin, T. Metin
Generating 3D models from 2D images or sketches is a widely studied important problem in computer graphics. We describe the first method to generate a 3D human model from a single sketched stick figure. In contrast to the existing human modeling techniques, our method requires neither a statistical body shape model nor a rigged 3D character model. We exploit Variational Autoencoders to develop a novel framework capable of transitioning from a simple 2D stick figure sketch, to a corresponding 3D human model. Our network learns the mapping between the input sketch and the output 3D model. Furthermore, our model learns the embedding space around these models. We demonstrate that our network can generate not only 3D models, but also 3D animations through interpolation and extrapolation in the learned embedding space. Extensive experiments show that our model learns to generate reasonable 3D models and animations.
Graphics Interface 2020, GI 2020

Suggestions

Deep generation of 3D articulated models and animations from 2D stick figures
Akman, Alican; Sahillioğlu, Yusuf; Sezgin, T. Metin (2022-12-01)
Generating 3D models from 2D images or sketches is a widely studied important problem in computer graphics. We describe the first method to generate a 3D human model from a single sketched stick figure. In contrast to the existing human modeling techniques, our method does not require a statistical body shape model. We exploit Variational Autoencoders to develop a novel framework capable of transitioning from a simple 2D stick figure sketch, to a corresponding 3D human model. Our network learns the mapping ...
Comparison of regression techniques via Monte Carlo simulation
Mutan, Oya Can; Ayhan, Hüseyin Öztaş; Department of Statistics (2004)
The ordinary least squares (OLS) is one of the most widely used methods for modelling the functional relationship between variables. However, this estimation procedure counts on some assumptions and the violation of these assumptions may lead to nonrobust estimates. In this study, the simple linear regression model is investigated for conditions in which the distribution of the error terms is Generalised Logistic. Some robust and nonparametric methods such as modified maximum likelihood (MML), least absolut...
Efficient rendering of complex scenes on heterogeneous parallel architectures
Yıldırım Kalkan, Gökçe; İşler, Veysi; Department of Computer Engineering (2014)
In computer graphics, generating high-quality images at high frame rates for rendering complex scenes is a challenging task. A well-known approach to tackling this important task is to utilize parallel processing through distributing rendering and simulation tasks to different processing units. In this thesis, several methods of distributed rendering architectures are investigated, and the bottlenecks in distributed rendering are analyzed. Based on this analysis, guidelines for distributed rendering in a ne...
Photometric stereo considering highlights and shadows
Büyükatalay, Soner; Halıcı, Uğur; Birgül, Özlem; Department of Electrical and Electronics Engineering (2011)
Three dimensional (3D) shape reconstruction that aims to reconstruct 3D surface of objects using acquired images, is one of the main problems in computer vision. There are many applications of 3D shape reconstruction, from satellite imaging to material sciences, considering a continent on earth or microscopic surface properties of a material. One of these applications is the automated firearm identification that is an old, yet an unsolved problem in forensic science. Firearm evidence matching algorithms rel...
3D face modeling using multiple images
BUYUKATALAY, SONER; Halıcı, Uğur; AKAGUNDUZ, ERDEM; ULUSOY PARNAS, İLKAY (2006-04-19)
3D face modeling based on real images is one of the important subject of Computer Vision that is studied recently. In this paper the study that eve contucted in our Computer Vision and Intelligent Systems Research Laboratory on 3D face model generation using uncalibrated multiple still images is explained.
Citation Formats
A. Akman, Y. Sahillioğlu, and T. M. Sezgin, “Generation of 3D human models and animations using simple sketches,” Toronto, Virtual, Online, Kanada, 2020, vol. 2020-May, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086005616&origin=inward.