Results 211 to 220 of about 3,735,431 (289)

Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment. [PDF]

Biomedicines
Kritsotaki N, Diamantidis D, Koutlaki N, Machairiotis N, Tsikouras P.   +4 more
europepmc   +1 more source

Character style and relational judgments in human-AI romance: trust, commitment, intimacy, and passion. [PDF]

Front Psychol
Niu J, She W, Cheng W, Dou X, Jia X.
europepmc   +1 more source

A novel peaked cap technique for assisting colonic endoscopic submucosal dissection. [PDF]

Endoscopy
Yang Q, Xu J, Cao J, Tang X.
europepmc   +1 more source

Art democracies, art constitution and style art works

, 2006
openaire   +1 more source

Simulating Chalk Art Style Painting

International Journal of Pattern Recognition and Artificial Intelligence, 2017
Different kinds of illustrations and artistic imagery can be generated or simulated through the nonphotorealistic rendering (NPR) technique. However, designing and simulating new NPR artistic styles remains extremely challenging. Chalk art style is a very famous artistic work all over the world, and few algorithms have been put forward to illustrate ...
Wenhua Qian, Dan Xu 0001, Zheng Guan, Kun Yue, Yuanyuan Pu   +4 more
semanticscholar   +3 more sources

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Computer analysis for visual art style

SIGGRAPH Asia 2013 Technical Briefs, 2013
In recent years, scholars pay more and more attention to the understanding and analysis of visual art style. This paper is based on Sparse Coding on visual art works, which brings out the trained basis function reflecting the style characteristics of a painting. Next, Gabor energy is extracted in Gabor domain from the trained basis function. Van Gogh's
Yuqing Liu, Yuanyuan Pu, Dan Xu 0001
openaire   +2 more sources

Q-Art Code: Generating Scanning-robust Art-style QR Codes by Deformable Convolution

ACM Multimedia, 2021
Quick Response (QR) code is a popular form of matrix barcodes that are widely used to tag online links on print media (e.g., posters, leaflets, and books).
Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu   +5 more
semanticscholar   +1 more source

Learning to Recognize the Art Style of Paintings Using Multi-cues

International Conference of Information Technology, Computer Engineering and Management Sciences, 2011
Bing Yang, Duanqing Xu
exaly   +2 more sources

Structure-aware Video Style Transfer with Map Art

ACM Trans. Multim. Comput. Commun. Appl., 2022
Changing the style of an image/video while preserving its content is a crucial criterion to access a new neural style transfer algorithm. However, it is very challenging to transfer a new map art style to a certain video in which “content” comprises a ...
T. Le, Ya-Hsuan Chen, Tong-Yee Lee
semanticscholar   +1 more source

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models

IEEE International Conference on Computer Vision, 2023
Content and style (C-S) disentanglement is a fundamental problem and critical challenge of style transfer. Existing approaches based on explicit definitions (e.g., Gram matrix) or implicit learning (e.g., GANs) are neither interpretable nor easy to ...
Zhizhong Wang, Lei Zhao, Wei Xing
semanticscholar   +1 more source