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 the National Science and Technology Major Project(Grant No.2021ZD0112902);the National Natural Science Foundation of China(Project No.62220106003);a Research Grant from Beijing Higher Institution Engineering Research Center,and Tsinghua–Tencent Joint Laboratory for Internet Innovation Technology.
3D-aware image synthesis has attained high quality and robust 3D consistency.Existing 3D controllable generative models are designed to synthesize 3D-aware images through a single modality,such as 2D segmentation or s...
supported by General Project of Guangxi Science and Technology Major Project(AA19254016);Beihai City Science and Technology Planning Project(202082033);Beihai City Science and Technology Planning Project(202082023);Guangxi Graduate Student Innovation Project(YCSW2021174)。
Single-image super-resolution(SISR)typically focuses on restoring various degraded low-resolution(LR)images to a single high-resolution(HR)image.However,during SISR tasks,it is often challenging for models to simultan...
This work was supported in part by National Natural Science Foundation of China(U21B2023);DEGP Innovation Team(2022KCXTD025);Shenzhen Science and Technology Program(KQTD20210811090044003,RCJC20200714114435012);Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ).
Exemplar-based image translation involves converting semantic masks into photorealistic images that adopt the style of a given exemplar.However,most existing GAN-based translation methods fail to produce photorealisti...
supported by the Innovation and Technology Fund from the Innovation and Technology Commission of the Hong Kong Special Administrative Region(Fund Number ITS/065/21).
Direct illumination rendering is an impor-tant technique in computer graphics.Precomputed radiance transfer algorithms can provide high quality rendering results in real time,but they can only support rigid models.On ...
supported by the Special Project on Basic Research of Frontier Leading Technology of Jiangsu Province,China(Grant No.BK20192004C).
3D pose transfer over unorganized point clouds is a challenging generation task,which transfers a source’s pose to a target shape and keeps the target’s identity.Recent deep models have learned deformations and used...
supported in part by the Shenzhen Science and Technology Program(No.ZDSYS20210623092007023);in part by the National Natural Science Foundation of China(No.62172398);the Guangdong Basic and Applied Basic Research Foundation(No.2021A1515011700).
Higher-order patterns reveal sequential multistep state transitions,which are usually superior to origin-destination analyses that depict only first-order geospatial movement patterns.Conventional methods for higher-o...
supported in part by a Grant in-Aid for Scientific Research B(22H03573)of the Japan Society for the Promotion of Science(JSPS);in part by the National Natural Science Foundation of China(92067109,61873119);in part by Shenzhen Science and Technology Program(ZDSYS20210623092007023,GJHZ20210705141808024);in part by Guangdong Key Program(2021QN02X794)。
Recent achievements in deep learning(DL)have demonstrated its potential in predicting traffic flows.Such predictions are beneficial for understanding the situation and making traffic control decisions.However,most sta...