supported by the National Research Foundation of Korea (NRF)grant funded by the Korean government (MSIT) (No.2022R1A2C1004657,Contribution Rate:50%);Culture,Sports and Tourism R&D Program through the Korea Creative Content Agency grant funded by Ministry of Culture Sports and Tourism in 2024 (Project Name:Developing Professionals for R&D in Contents Production Based on Generative Ai and Cloud,Project Number:RS-2024-00352578,Contribution Rate:50%).
Arbitrary style transfer aims to perceptually reflect the style of a reference image in artistic creations with visual aesthetics.Traditional style transfer models,particularly those using adaptive instance normalizat...
supported by the Culture,Sports and Tourism R&D Program through the Korea Creative Content Agency grant funded by the Ministry of Culture,Sports and Tourism in 2022-(4D Content Generation and Copyright Protection with Artificial Intelligence,R2022020068,30%;Research on neural watermark technology for copyright protection of generative AI 3D content,RS-2024-00348469,40%;International Collaborative Research and Global Talent Development for the Development of Copyright Management and Protection Technologies for Generative AI,RS-2024-00345025,10%);the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(RS-2019-II190079,10%,No.2017-0-00417,10%).
We present a novel framework for audio-guided localized image stylization.Sound often provides information about the specific context of a scene and is closely related to a certain part of the scene or object.However,...
Supported by Startup Fund 20019495,McMaster University。
Background Synthesizing dance motions to match musical inputs is a significant challenge in animation research.Compared to functional human motions,such as locomotion,dance motions are creative and artistic,often infl...
Recently,there has been an upsurge of activity in image-based non-photorealistic rendering(NPR),and in particular portrait image stylisation,due to the advent of neural style transfer(NST).However,the state of perform...
National Natural Science Foundation of China(No.61861025)。
Aiming at the problems of image semantic content distortion and blurred foreground and background boundaries during the transfer process of convolutional neural image stylization,we propose a convolutional neural arti...
This thesis is a staged achievement of the National Social Science Fund’s major art projects“Contemporary Inheritance Research of Chinese Traditional Art”(Project Number:19ZD01);“Aesthetics and Art Keyword Research”(Project Number:17ZDA017).
As a specific name,Chinese traditional drama appeared in the 1960s,which specifically refers to the reserved plays of various traditional dramas that coexisted with modern dramas and newly edited historical dramas bef...
Digital mosaics have usually used regular tiles, simulating historical tessellated mosaics. In this paper, we present a method for synthesizing pebble mosaics, a historical mosaic style in which the tiles are rounded ...
A novel free form based face cartoon stylization method is presented in this paper. First, a face cartoon library with marked feature points is constructed. And then select the input image as the target image and an a...
supported by National Natural Science Foundation of China(Grant Nos.61003265,61173097);Zhejiang Provincial Natural Science Foundation of China(Grant No.LY14F020021)
Artistic video stylization, which is widely used in multimedia entertainment, transforms a given video into different artistic styles. Most of the existing video stylization algorithms can simulate single or limited v...
supported by an RGC research grant (ref. 416007);UGC direct grants for research (Grant No.2050454,2050485);National Natural Science Foundation of China (Grant No. 60903068);Key Program of NSFC-Guangdong Union Foundation (Grant No. U1035004)
This paper presents a graphics processing unit (GPU) based stylization approach that preserves the fine structure between the original and the stylized images using gradient optimization.Existing abstraction and pai...