activity
20222026
most citedDreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Autoregressive B-Rep Shape Generation with Parametric Surfaces

Dafei Qin, Rui Xu, Zeyu Shen +8

Generative CAD modeling has broad design and application potential. Despite significant advances in Boundary Representation (B-Rep) generation, the dominant representation in CAD,…

cs.GR2024★ 1 cited

Instant Facial Gaussians Translator for Relightable and Interactable Facial Rendering

Dafei Qin, Hongyang Lin, Qixuan Zhang +7

We propose GauFace, a novel Gaussian Splatting representation, tailored for efficient animation and rendering of physically-based facial assets. Leveraging strong geometric priors…

cs.CV2024

Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units

Youjia Wang, Yiwen Wu, Hengan Zhou +9

We present Capturing the Unseen (CAPUS), a novel facial motion capture (MoCap) technique that operates without visual signals. CAPUS leverages miniaturized Inertial Measurement Uni…

cs.GR2023★ 3 cited

DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance

Longwen Zhang, Qiwei Qiu, Hongyang Lin +7

Emerging Metaverse applications demand accessible, accurate, and easy-to-use tools for 3D digital human creations in order to depict different cultures and societies as if in the p…

cs.CV2022★ 2 cited

Video-driven Neural Physically-based Facial Asset for Production

Longwen Zhang, Chuxiao Zeng, Qixuan Zhang +5

Production-level workflows for producing convincing 3D dynamic human faces have long relied on an assortment of labor-intensive tools for geometry and texture generation, motion ca…