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most citedTalkingEyes: Pluralistic Speech-Driven 3D Eye Gaze Animation

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization

Weilin Chen, Jiahao Rao, Wenhao Wang +3

The creation of high-fidelity, customizable 3D indoor scene textures remains a significant challenge. While text-driven methods offer flexibility, they lack the precision for fine-…

cs.CV2026

FaceRefiner: High-Fidelity Facial Texture Refinement with Differentiable Rendering-based Style Transfer

Chengyang Li, Baoping Cheng, Yao Cheng +5

Recent facial texture generation methods prefer to use deep networks to synthesize image content and then fill in the UV map, thus generating a compelling full texture from a singl…

cs.CV2025★ 1 cited

TalkingEyes: Pluralistic Speech-Driven 3D Eye Gaze Animation

Yixiang Zhuang, Chunshan Ma, Yao Cheng +3

Although significant progress has been made in the field of speech-driven 3D facial animation recently, the speech-driven animation of an indispensable facial component, eye gaze,…

cs.CV2024

DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details

Haitao Cao, Baoping Cheng, Qiran Pu +6

Parametric 3D models have enabled a wide variety of computer vision and graphics tasks, such as modeling human faces, bodies and hands. In 3D face modeling, 3DMM is the most widely…

cs.CV2024

Learn2Talk: 3D Talking Face Learns from 2D Talking Face

Yixiang Zhuang, Baoping Cheng, Yao Cheng +6

Speech-driven facial animation methods usually contain two main classes, 3D and 2D talking face, both of which attract considerable research attention in recent years. However, to…

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…