17 citations · 29 across the 10 of their papers we have counts for
6 papers
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation
Liangdong Qiu, Chongjie Ye, Pei Chen +3
Automatic tooth instance segmentation on 3D dental models is a fundamental task for computer-aided orthodontic treatments. Existing learning-based methods rely heavily on expensive…
Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images
Heming Zhu, Lingteng Qiu, Yuda Qiu +1
Fueled by the power of deep learning techniques and implicit shape learning, recent advances in single-image human digitalization have reached unprecedented accuracy and could reco…
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
Chenming Zhu, Xuanye Zhang, Yanran Li +3
Excellent performance has been achieved on instance segmentation but the quality on the boundary area remains unsatisfactory, which leads to a rising attention on boundary refineme…
Compound Domain Generalization via Meta-Knowledge Encoding
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han +2
Domain generalization (DG) aims to improve the generalization performance for an unseen target domain by using the knowledge of multiple seen source domains. Mainstream DG methods…
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
Kun Zhou, Wenbo Li, Xiaoguang Han +1
For video frame interpolation (VFI), existing deep-learning-based approaches strongly rely on the ground-truth (GT) intermediate frames, which sometimes ignore the non-unique natur…
PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis
Xianggang Yu, Jiapeng Tang, Yipeng Qin +4
We present PVSeRF, a learning framework that reconstructs neural radiance fields from single-view RGB images, for novel view synthesis. Previous solutions, such as pixelNeRF, rely…