29 citations · 73 across the 18 of their papers we have counts for
6 papers · 1 filter
C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction
Luoyuan Xu, Tao Guan, Yuesong Wang +4
There is an emerging effort to combine the two popular 3D frameworks using Multi-View Stereo (MVS) and Neural Implicit Surfaces (NIS) with a specific focus on the few-shot / sparse…
HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation
Longwen Zhang, Zijun Zhao, Xinzhou Cong +7
Significant advancements have been made in developing parametric models for digital humans, with various approaches concentrating on parts such as the human body, hand, or face. Ne…
NeMF: Inverse Volume Rendering with Neural Microflake Field
Youjia Zhang, Teng Xu, Junqing Yu +5
Recovering the physical attributes of an object's appearance from its images captured under an unknown illumination is challenging yet essential for photo-realistic rendering. Rece…
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
Kai Yang, Hong Shang, Tianyang Shi +4
The research fields of parametric face model and 3D face reconstruction have been extensively studied. However, a critical question remains unanswered: how to tailor the face model…
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…
Compact Transformer Tracker with Correlative Masked Modeling
Zikai Song, Run Luo, Junqing Yu +2
Transformer framework has been showing superior performances in visual object tracking for its great strength in information aggregation across the template and search image with t…