Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Yang, Lingbo"'
Motion capture from a monocular video is fundamental and crucial for us humans to naturally experience and interact with each other in Virtual Reality (VR) and Augmented Reality (AR). However, existing methods still struggle with challenging cases in
Externí odkaz:
http://arxiv.org/abs/2210.15134
Conceptual coding has been an emerging research topic recently, which encodes natural images into disentangled conceptual representations for compression. However, the compression performance of the existing methods is still sub-optimal due to the la
Externí odkaz:
http://arxiv.org/abs/2103.07131
Temporal consistency is crucial for extending image processing pipelines to the video domain, which is often enforced with flow-based warping error over adjacent frames. Yet for human video synthesis, such scheme is less reliable due to the misalignm
Externí odkaz:
http://arxiv.org/abs/2012.06134
Autor:
Chang, Jianhui, Zhao, Zhenghui, Jia, Chuanmin, Wang, Shiqi, Yang, Lingbo, Mao, Qi, Zhang, Jian, Ma, Siwei
Existing compression methods typically focus on the removal of signal-level redundancies, while the potential and versatility of decomposing visual data into compact conceptual components still lack further study. To this end, we propose a novel conc
Externí odkaz:
http://arxiv.org/abs/2011.04976
Face restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology. However, real-world image prior are often hard to simulate with precise mathematical models, which
Externí odkaz:
http://arxiv.org/abs/2010.05508
Autor:
Zheng, Shaowen1 (AUTHOR) zhsw4836@sxau.edu.cn, Yang, Lingbo1 (AUTHOR), Zheng, Hao1 (AUTHOR), Wu, Jiayue1 (AUTHOR), Zhou, Zijian1 (AUTHOR), Tian, Jieyun1 (AUTHOR) tianjieyun@sxau.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Jan2024, Vol. 25 Issue 2, p757. 14p.
Face restoration is important in face image processing, and has been widely studied in recent years. However, previous works often fail to generate plausible high quality (HQ) results for real-world low quality (LQ) face images. In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/2009.08709
Autor:
Yang, Lingbo, Wang, Pan, Zhang, Xinfeng, Wang, Shanshe, Gao, Zhanning, Ren, Peiran, Xie, Xuansong, Ma, Siwei, Gao, Wen
Publikováno v:
2020 IEEE International Conference on Multimedia and Expo (ICME 2020)
The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strategy that propagates appearance features through the same pathway used f
Externí odkaz:
http://arxiv.org/abs/2005.12486
Autor:
Yang, Lingbo, Wang, Pan, Liu, Chang, Gao, Zhanning, Ren, Peiran, Zhang, Xinfeng, Wang, Shanshe, Ma, Siwei, Hua, Xiansheng, Gao, Wen
Publikováno v:
in IEEE Transactions on Image Processing, vol. 30, pp. 2422-2435, 2021
Human pose transfer (HPT) is an emerging research topic with huge potential in fashion design, media production, online advertising and virtual reality. For these applications, the visual realism of fine-grained appearance details is crucial for prod
Externí odkaz:
http://arxiv.org/abs/2005.12494
Existing face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization ability over real-world images with heterogeneous degradations and rich back
Externí odkaz:
http://arxiv.org/abs/2005.05005