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GENERATIVE: 作品数：537被引量：766H指数：13; 导出分析报告; 相关作者：郝志桃王东李昌华李曙光赵凯华更多>>; 相关机构：华中师范大学浙江省交通规划设计研究院有限公司西安建筑科技大学上海电力大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家社会科学基金高等学校学科创新引智计划更多>>

DualSmoke: Sketch-based smoke illustration design with two-stage generative model: 《Computational Visual Media》2024年第5期965-979,共15页Haoran Xie Keisuke Arihara Syuhei Sato Kazunori Miyata; supported by a JAIST Research Grant,and JSPS KAKENHI grant JP20K19845.; The dynamic effects of smoke are impressive in illustration design,but it is a troublesome and challenging issue for inexpert users to design smoke effects without domain knowledge of fuid simulations.In this work,we ...; 关键词：smoke simulation flow control generative adversarial network(GAN) finite-time lyapunov exponent(FTLE) Lagrangian coherent structure(LCS)

Class-conditional domain adaptation for semantic segmentation: 《Computational Visual Media》2024年第5期1013-1030,共18页Yue Wang Yuke Li James H.Elder Runmin Wu Huchuan Lu; funded by the Ontario Research Fund-Research Excellence program for their supports.; Semantic segmentation is an important sub-task for many applications.However,pixel-level ground-truth labeling is costly,and there is a tendency to overfit to training data,thereby limiting the generalization ability....; 关键词：domain adaptation generative adversarial networks semantic segmentation cityscapes

Controllable multi-domain semantic artwork synthesis: 《Computational Visual Media》2024年第2期355-373,共19页Yuantian Huang Satoshi Iizuka Edgar Simo-Serra Kazuhiro Fukui; supported by the Japan Science and Technology Agency Support for Pioneering Research Initiated by the Next Generation(JST SPRING)under Grant No.JPMJSP2124.; We present a novel framework for the multidomain synthesis of artworks from semantic layouts.One of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art synthes...; 关键词：semantic artwork synthesis generative adversarial network(GAN) datasets non-photorealistic rendering

MusicFace: Music-driven expressive singing face synthesis: 《Computational Visual Media》2024年第1期119-136,共18页Pengfei Liu Wenjin Deng Hengda Li Jintai Wang Yinglin Zheng Yiwei Ding Xiaohu Guo Ming Zeng; This work was supported in part by grants from the National Key R&D Program of China(2021YFC3300403);National Natural Science Foundation of China(62072382);Yango Charitable Foundation,and the National Science Foundation(OAC-2007661).; It remains an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music. In this paper, we present a method for this task with natural motions for the lips, facial expression...; 关键词：face synthesis SINGING MUSIC generative adversarial network

APF-GAN:Exploring asymmetric pre-training and fine-tuning strategy for conditional generative adversarial network: 《Computational Visual Media》2024年第1期187-192,共6页Yuxuan Li Lingfeng Yang Xiang Li; This work was supported by the Fundamental Research Funds for the Central Universities 07063233084;the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.62206134);the Tianjin Key Laboratory of Visual Computing and Intelligent Perception(VCIP).Computation is supported by the Supercomputing Center of Nankai University(NKSC).; The use of generative adversarial network(GAN)-based models for the conditional generation of image semantic segmentation has shown promising results in recent years.However,there are still some limitations,including ...; 关键词：tuning NETWORK ASYMMETRIC

An attention-embedded GAN for SVBRDF recovery from a single image被引量：1: 《Computational Visual Media》2023年第3期551-561,共11页Zeqi Shi Xiangyu Lin Ying Song; supported by the National Natural Science Foundation of China(No.61602416);Shaoxing Science and Technology Plan Project(No.2020B41006).; Learning-based approaches have made substantial progress in capturing spatially-varying bidirectional reflectance distribution functions(SVBRDFs)from a single image with unknown lighting and geometry.However,most exis...; 关键词：spatially-varying bidirectional reflectance distribution function(SVBRDF) appearance capture generative adversarial network(GAN) attention mechanism

Unsupervised image translation with distributional semantics awareness: 《Computational Visual Media》2023年第3期619-631,共13页Zhexi Peng He Wang Yanlin Weng Yin Yang Tianjia Shao; supported by National Natural Science Foundation of China(Grant No.61772462);the 100 Talents Program of Zhejiang University。; Unsupervised image translation(UIT)studies the mapping between two image domains.Since such mappings are under-constrained,existing research has pursued various desirable properties such as distributional matching or ...; 关键词：generative adversarial networks(GANs) manifold alignment unsupervised learning image-to-image translation distributional semantics

AOGAN:A generative adversarial network for screen space ambient occlusion被引量：2: 《Computational Visual Media》2022年第3期483-494,共12页Lei Ren Ying Song; National Natural Science Foundation of China(No.61602416);Shaoxing Science and Technology Bureau Key Project(No.2020B41006);Opening Fund(No.2020WLB10)of the Key Laboratory of Silk Culture Heritage and Product Design Digital Technology。; Ambient occlusion(AO)is a widely-used real-time rendering technique which estimates light intensity on visible scene surfaces.Recently,a number of learning-based AO approaches have been proposed,which bring a new angl...; 关键词：ambient occlusion(AO) attention mechanism generative adversarial network(GAN) perceptual loss

Co-occurrence based texture synthesis被引量：1: 《Computational Visual Media》2022年第2期289-302,共14页Anna Darzi Itai Lang Ashutosh Taklikar Hadar Averbuch-Elor Shai Avidan; As image generation techniques mature,there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate.In this work,we turn to co-occurrence statistics,which have long...; 关键词：CO-OCCURRENCE texture synthesis deep learning generative adversarial networks(GANs)

Mask-aware photorealistic facial attribute manipulation: 《Computational Visual Media》2021年第3期363-374,共12页Ruoqi Sun Chen Huang Hengliang Zhu Lizhuang Ma; partially funded by the National Natural Science Foundation of China(No.61972157);the National Social Science Foundation of China(No.18ZD22);the Science and Technology Commission of Shanghai Municipality Program(No.18D1205903);the Science and Technology Commission of Pudong Municipality Program(No.PKJ2018-Y46);the Multidisciplinary Project of Shanghai Jiao Tong University(No.ZH2018ZDA25);partially supported by a joint project of SenseTime and Shanghai Jiao Tong University。; The technique of facial attribute manipulation has found increasing application,but it remains challenging to restrict editing of attributes so that a face’s unique details are preserved.In this paper,we introduce ou...; 关键词：face attribute manipulation generative adversarial network(GAN) variational autoencoder(VAE) partial dilated layers photorealism

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