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20192024
most citedGLIB: Towards Automated Test Oracle for Graphically-Rich Applications

30 citations · 71 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation

Renshuai Liu, Bowen Ma, Wei Zhang +5

In human-centric content generation, the pre-trained text-to-image models struggle to produce user-wanted portrait images, which retain the identity of individuals while exhibiting…

cs.CV2023★ 6 cited

TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles

Yifeng Ma, Suzhen Wang, Yu Ding +6

Audio-driven talking head generation has drawn growing attention. To produce talking head videos with desired facial expressions, previous methods rely on extra reference videos to…

cs.CV2023★ 4 cited

DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video

Zhimeng Zhang, Zhipeng Hu, Wenjin Deng +3

For few-shot learning, it is still a critical challenge to realize photo-realistic face visually dubbing on high-resolution videos. Previous works fail to generate high-fidelity du…

cs.CV2023

Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation

Rui Zhao, Wei Li, Zhipeng Hu +4

Recent popular Role-Playing Games (RPGs) saw the great success of character auto-creation systems. The bone-driven face model controlled by continuous parameters (like the position…

cs.CV2023

NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination

Haoqian Wu, Zhipeng Hu, Lincheng Li +3

Inverse rendering methods aim to estimate geometry, materials and illumination from multi-view RGB images. In order to achieve better decomposition, recent approaches attempt to mo…

cs.CV2023

StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles

Yifeng Ma, Suzhen Wang, Zhipeng Hu +5

Different people speak with diverse personalized speaking styles. Although existing one-shot talking head methods have made significant progress in lip sync, natural facial express…

cs.CV2022★ 6 cited

Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation

Bowen Ma, Rudong An, Wei Zhang +6

As a fine-grained and local expression behavior measurement, facial action unit (FAU) analysis (e.g., detection and intensity estimation) has been documented for its time-consuming…