Results 181 to 190 of about 16,206 (244)
Some of the next articles are maybe not open access.
Computer Animation and Virtual Worlds, 2007
AbstractWe make moving caricatures from videos on human faces. Using training images, we created a 3D model of an average face. This allows us to transform the image in each frame of an input video, so that it is seen from the front. Then we apply 2D exaggeration rules to caricature each face.
In-Kwon Lee
exaly +2 more sources
AbstractWe make moving caricatures from videos on human faces. Using training images, we created a 3D model of an average face. This allows us to transform the image in each frame of an input video, so that it is seen from the front. Then we apply 2D exaggeration rules to caricature each face.
In-Kwon Lee
exaly +2 more sources
A Style-Based Caricature Generator
Communications in Computer and Information Science, 2023Jong Taek Lee, Soon Ki Jung
exaly +2 more sources
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
Conference on Empirical Methods in Natural Language Processing, 2023Recent work has aimed to capture nuances of human behavior by using LLMs to simulate responses from particular demographics in settings like social science experiments and public opinion surveys.
Myra Cheng, Tiziano Piccardi, Diyi Yang
semanticscholar +1 more source
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation
IEEE Transactions on Image Processing, 2022Given a photo of a subject, ability to generate a caricature image that captures distinct characteristics of the subject but with certain exaggeration of their prominent features is of fundamental importance to image processing and facial recognition ...
Jing Huo +5 more
semanticscholar +1 more source
CariPainter: Sketch Guided Interactive Caricature Generation
ACM Multimedia, 2022In this paper, we propose CariPainter, the first interactive caricature generating and editing method. The main challenge of caricature generation lies in the fact that it not only exaggerates the facial geometry but also refreshes the facial texture. We
Xin Huang +4 more
semanticscholar +1 more source
Example-based caricature generation with exaggeration control
Visual Computer, 2015Xiaoyang Mao +2 more
exaly +2 more sources
The Physician in the Caricature
Postgraduate Medicine, 1961(1961). The Physician in the Caricature. Postgraduate Medicine: Vol. 29, No. 2, pp. 214-218.
H, NATHAN, J, HIRSH, N, BINGOL
openaire +2 more sources
ACM Multimedia, 2020
This paper deals with a challenging task of learning from different modalities by tackling the difficulty problem of jointly face recognition between abstract-like sketches, cartoons, caricatures and real-life photographs.
Wenbo Zheng +3 more
semanticscholar +1 more source
This paper deals with a challenging task of learning from different modalities by tackling the difficulty problem of jointly face recognition between abstract-like sketches, cartoons, caricatures and real-life photographs.
Wenbo Zheng +3 more
semanticscholar +1 more source
Generation of 3D Caricature by Fusing Caricature Images
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006Caricatures are exaggerated, cartoon-like portraits that try to capture the essence of the subject with a bit of humor or sarcasm. In this paper, we extend the automatic caricature generation algorithm developed previously in two important aspects: 1) we improve the facial feature detection procedure by incorporating active appearance models, and 2) we
Yu-Lun Chen +2 more
openaire +1 more source
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
European Conference on Computer Vision, 2020Caricature attributes provide distinctive facial features to help research in Psychology and Neuroscience. However, unlike the facial photo attribute datasets that have a quantity of annotated images, the annotations of caricature attributes are rare. To
Wen Ji +4 more
semanticscholar +1 more source