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DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis 期刊论文
IEEE Transactions on Multimedia, 2024, 页码: 14
作者:  Yueming Lyu;  Peibin Chen;  Jingna Sun;  Bo Peng;  Xu Wang;  Jing Dong
Adobe PDF(20492Kb)  |  收藏  |  浏览/下载：26/6  |  提交时间：2024/05/28
Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation 期刊论文
IEEE Transactions on Multimedia, 2023, 卷号: 26, 页码: 1 - 13
作者:  Liu, Jiawei;  Wang, Weining;  Chen, Sihan;  Zhu, Xinxin;  Liu, Jing
Adobe PDF(7741Kb)  |  收藏  |  浏览/下载：158/31  |  提交时间：2023/05/03
Text-guided sounding-video generation  Videoaudio representation  Contrastive learning  Transformer  
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-term Pose Forecasting 期刊论文
IEEE Transactions on Multimedia, 2023, 卷号: Early Access, 期号: Early Access, 页码: Early Access
作者:  Shentong Mo;  Xin M(辛淼)
Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：101/17  |  提交时间：2023/04/25
long-term forecasting  spatial-temporal graph transformer  Bayesian transformer  uncertainty estimation  
Semantic-aware Noise Driven Portrait Synthesis and Manipulation 期刊论文
IEEE Transactions on Multimedia, 2022, 页码: 0
作者:  Deng, Qiyao;  Li, Qi;  Cao, Jie;  Liu, Yunfan;  Sun, Zhenan
Adobe PDF(53989Kb)  |  收藏  |  浏览/下载：227/44  |  提交时间：2022/06/23
face manipulation, face synthesis, semantic noise  
CNDesc: Cross Normalization for Local Descriptors Learning 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: xx, 期号: xx, 页码: xx
作者:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Xiaopeng Zhang
Adobe PDF(13183Kb)  |  收藏  |  浏览/下载：215/31  |  提交时间：2022/04/15
Local descriptors  cross normalization  densely connected backbone  distribution consistent loss  
Decoupled Representation Learning for Character Glyph Synthesis 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 2021, 期号: 2021, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Jianlong Chang;  Ruiguang Hu;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：205/49  |  提交时间：2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks