136 citations · 213 across the 9 of their papers we have counts for
9 papers
Learning Variational Motion Prior for Video-based Motion Capture
Xin Chen, Zhuo Su, Lingbo Yang +4
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 (A…
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Jianhui Chang, Zhenghui Zhao, Lingbo Yang +3
Conceptual coding has been an emerging research topic recently, which encodes natural images into disentangled conceptual representations for compression. However, the compression…
Intrinsic Temporal Regularization for High-resolution Human Video Synthesis
Lingbo Yang, Zhanning Gao, Peiran Ren +2
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 hu…
Conceptual Compression via Deep Structure and Texture Synthesis
Jianhui Chang, Zhenghui Zhao, Chuanmin Jia +5
Existing compression methods typically focus on the removal of signal-level redundancies, while the potential and versatility of decomposing visual data into compact conceptual com…
Implicit Subspace Prior Learning for Dual-Blind Face Restoration
Lingbo Yang, Pan Wang, Zhanning Gao +4
Face restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology. However, real-world image pr…
Progressive Semantic-Aware Style Transformation for Blind Face Restoration
Chaofeng Chen, Xiaoming Li, Lingbo Yang +3
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) resu…
Region-adaptive Texture Enhancement for Detailed Person Image Synthesis
Lingbo Yang, Pan Wang, Xinfeng Zhang +6
The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strate…
Towards Fine-grained Human Pose Transfer with Detail Replenishing Network
Lingbo Yang, Pan Wang, Chang Liu +7
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…
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
Lingbo Yang, Chang Liu, Pan Wang +4
Existing face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization abilit…