4 citations · 6 across the 5 of their papers we have counts for
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RAGMesh with FaME-G2E: Long-Form Text-Driven 3D Face Generation and Editing
Hao Li, Ju Dai, Feng Zhou +6
Text-driven 3D face generation and editing remains challenging due to the difficulty of translating long-form descriptions into fine-grained facial geometry. Existing methods prima…
Jitter Does Matter: Adapting Gaze Estimation to New Domains
Ruicong Liu, Yiwei Bao, Mingjie Xu +3
Deep neural networks have demonstrated superior performance on appearance-based gaze estimation tasks. However, due to variations in person, illuminations, and background, performa…
Separating Content and Style for Unsupervised Image-to-Image Translation
Yunfei Liu, Haofei Wang, Yang Yue +1
Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples. Existing works focus on disentangling domain-invariant content c…
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
Yunfei Liu, Ruicong Liu, Haofei Wang +1
Deep neural networks have significantly improved appearance-based gaze estimation accuracy. However, it still suffers from unsatisfactory performance when generalizing the trained…
Vulnerability of Appearance-based Gaze Estimation
Mingjie Xu, Haofei Wang, Yunfei Liu +1
Appearance-based gaze estimation has achieved significant improvement by using deep learning. However, many deep learning-based methods suffer from the vulnerability property, i.e.…