DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image
Reconstructing 3D hand-face interactions with deformations from a single image is a
challenging yet crucial task with broad applications in AR, VR, and gaming. The challenges …
challenging yet crucial task with broad applications in AR, VR, and gaming. The challenges …
Meta-evaluation for 3D face reconstruction via synthetic data
The standard benchmark metric for 3D face reconstruction is the geometric error between
reconstructed meshes and the ground truth. Nearly all recent reconstruction methods are …
reconstructed meshes and the ground truth. Nearly all recent reconstruction methods are …
InstantAvatar: Efficient 3D Head Reconstruction via Surface Rendering
Recent advances in full-head reconstruction have been obtained by optimizing a neural field
through differentiable surface or volume rendering to represent a single scene. While these …
through differentiable surface or volume rendering to represent a single scene. While these …
INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields
We propose INFAMOUS-NeRF, an implicit morphable face model that introduces
hypernetworks to NeRF to improve the representation power in the presence of many …
hypernetworks to NeRF to improve the representation power in the presence of many …
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior
Generative 3D face models featuring disentangled controlling factors hold immense
potential for diverse applications in computer vision and computer graphics. However …
potential for diverse applications in computer vision and computer graphics. However …
Neutral Facial Rigging from Limited Spatiotemporal Meshes
J Hou, D Weng, Z Zhao, Y Li, J Zhou - Electronics, 2024 - mdpi.com
Manual facial rigging is time-consuming. Traditional automatic rigging methods lack either
3D datasets or explainable semantic parameters, which makes it difficult to retarget a certain …
3D datasets or explainable semantic parameters, which makes it difficult to retarget a certain …
三维人脸识别研究进展.
刘力, 龚勇, 赵国强 - Journal of Computer Engineering & …, 2023 - search.ebscohost.com
三维人脸识别技术具有自然, 便捷, 用户体验友好等独特优势, 已成为学术界和工业界的一个热门
研究方向. 近几年, 针对单目彩色图像, 彩色图-深度图数据, 点云数据, 多模态数据等不同类型的 …
研究方向. 近几年, 针对单目彩色图像, 彩色图-深度图数据, 点云数据, 多模态数据等不同类型的 …
Democratizing the Creation of Animatable Facial Avatars
In high-end visual effects pipelines, a customized (and expensive) light stage system is
(typically) used to scan an actor in order to acquire both geometry and texture for various …
(typically) used to scan an actor in order to acquire both geometry and texture for various …
DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details
H Cao, B Cheng, Q Pu, H Zhang, B Luo… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
such as modeling human faces, bodies and hands. In 3D face modeling, 3DMM is the most …
SupCon-ViT: Supervised contrastive learning for ultra-fine-grained visual categorization
With the increasing availability of datasets exhibiting fine granularity and subtle differences
between categories, fine-grained visual categorization tasks have gained significant …
between categories, fine-grained visual categorization tasks have gained significant …