activity
20162023
most citedHiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

136 citations · 354 across the 21 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.CV2020

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…

cs.CV2020★ 1 cited

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…

cs.HC2020

Narrative Transitions in Data Videos

Junxiu Tang, Lingyun Yu, Tan Tang +5

Transitions are widely used in data videos to seamlessly connect data-driven charts or connect visualizations and non-data-driven motion graphics. To inform the transition designs…

cs.HC2020★ 1 cited

PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning

Tan Tang, Renzhong Li, Xinke Wu +7

Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters. However, the design of storyline visualizatio…

cs.CV2020★ 13 cited

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…

cs.CV2020★ 41 cited

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…

cs.CV2020★ 136 cited

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…