《Computational Visual Media》

作品数:410被引量:916H指数:12
导出分析报告
《Computational Visual Media》
主办单位:清华大学
最新期次:2024年6期更多>>
发文主题:RENDERINGSURVEYDEEPIMAGESEGMENTATION更多>>
发文领域:自动化与计算机技术文化科学理学医药卫生更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划北京市自然科学基金中国博士后科学基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
Audio-guided implicit neural representation for local imagestylization
《Computational Visual Media》2024年第6期1185-1204,共20页Seung Hyun Lee Sieun Kim Wonmin Byeon Gyeongrok Oh Sumin In Hyeongcheol Park Sang Ho Yoon Sung-Hee Hong Jinkyu Kim Sangpil Kim 
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,...
关键词:audio guidance image style transfer implicit neural representations(INR) 
Multi3D:3D-aware multimodal image synthesis
《Computational Visual Media》2024年第6期1205-1217,共13页Wenyang Zhou Lu Yuan Taijiang Mu 
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...
关键词:generate adversarial networks(GANs) neural radiation field(NeRF) 3D-aware image synthesis controllable generation 
Super-resolution reconstruction of single image for latent features
《Computational Visual Media》2024年第6期1219-1239,共21页Xin Wang Jing-Ke Yan Jing-Ye Cai Jian-Hua Deng Qin Qin Yao Cheng 
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...
关键词:image superresolution reconstruction denoising diffusion probabilistic model normalized flow adversarial neural network variational auto-encoder 
Computational Visual Media TOTAL CONTENTS IN 2024
《Computational Visual Media》2024年第6期I0002-I0011,共10页
《Computational Visual Media》EDITORIAL BOARD
《Computational Visual Media》2024年第6期F0002-F0002,共1页
Taming diffusion model for exemplar-based image translation
《Computational Visual Media》2024年第6期1031-1043,共13页
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...
关键词:EXEMPLAR image translation denoising diffusion probabilistic model(DDPM) 
Temporal vectorized visibility for direct illumination of animated models
《Computational Visual Media》2024年第6期1045-1062,共18页Zhenni Wang Tze Yui Ho Yi Xiao Chi Sing Leung 
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 ...
关键词:VISIBILITY visibility-boundary edge line sampling ray tracing 
Geometry-aware 3D pose transfer using transformer autoencoder
《Computational Visual Media》2024年第6期1063-1078,共16页Shanghuan Liu Shaoyan Gai Feipeng Da Fazal Waris 
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...
关键词:3D pose transfer geometry-aware transfor-mer autoencoder cross-covariance attention 
HoLens:A visual analytics design for higher-order movement modeling and visualization
《Computational Visual Media》2024年第6期1079-1100,共22页Zezheng Feng Fang Zhu Hongjun Wang Jianing Hao Shuang-Hua Yang Wei Zeng Huamin Qu 
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...
关键词:data visualization movement modeling state sequence visualization movement visualization urban visual analytics 
rafPS:A shapley-based visual analytics approach to interpret traffic
《Computational Visual Media》2024年第6期1101-1119,共19页Zezheng Feng Yifan Jiang Hongjun Wang Zipei Fan Yuxin Ma Shuang-Hua Yang Huamin Qu Xuan Song 
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...
关键词:data visualization model interpretation urban planning urban visual analytics 
检索报告 对象比较 聚类工具 使用帮助 返回顶部