4 papers
Landmark Guided 4D Facial Expression Generation
Xin Lu, Zhengda Lu, Yiqun Wang +1
In this paper, we proposed a generative model that learns to synthesize the 4D facial expression with the neutral landmark. Existing works mainly focus on the generation of sequenc…
FC-4DFS: Frequency-controlled Flexible 4D Facial Expression Synthesizing
Xin Lu, Chuanqing Zhuang. Zhengda Lu, Yiqun Wang +1
4D facial expression synthesizing is a critical problem in the fields of computer vision and graphics. Current methods lack flexibility and smoothness when simulating the inter-fra…
Memory-Guided View Refinement for Dynamic Human-in-the-loop EQA
Xin Lu, Rui Li, Xun Huang +6
Embodied Question Answering (EQA) has traditionally been evaluated in temporally stable environments where visual evidence can be accumulated reliably. However, in dynamic, human-p…
LSF-Animation: Label-Free Speech-Driven Facial Animation via Implicit Feature Representation
Xin Lu, Chuanqing Zhuang, Chenxi Jin +4
Speech-driven 3D facial animation has attracted increasing interest since its potential to generate expressive and temporally synchronized digital humans. While recent works have b…