6 citations · 18 across the 5 of their papers we have counts for
7 papers · 1 filter
AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction
Zonglin Li, Kexian Xie, Feiran Li +5
Sparse-view Cone-Beam Computed Tomography (CBCT) reconstruction is essential for reducing radiation dose and scan effort, but remains underconstrained due to limited projection inf…
OFGS: On-the-Fly Feed-Forward 3D Gaussian Splatting from Unposed Images
Ruiyang Chen, Feiran Li, Chu Zhou +3
Feed-forward 3D Gaussian Splatting (3DGS) enables efficient and high-fidelity novel view synthesis (NVS) from offline image sequences. However, achieving on-the-fly NVS from unpose…
Generalizable and Relightable Gaussian Splatting for Human Novel View Synthesis
Yipengjing Sun, Shengping Zhang, Chenyang Wang +3
We propose GRGS, a generalizable and relightable 3D Gaussian framework for high-fidelity human novel view synthesis under diverse lighting conditions. Unlike existing methods that…
Shape-Guided Clothing Warping for Virtual Try-On
Xiaoyu Han, Shunyuan Zheng, Zonglin Li +3
Image-based virtual try-on aims to seamlessly fit in-shop clothing to a person image while maintaining pose consistency. Existing methods commonly employ the thin plate spline (TPS…
Progressive Limb-Aware Virtual Try-On
Xiaoyu Han, Shengping Zhang, Qinglin Liu +2
Existing image-based virtual try-on methods directly transfer specific clothing to a human image without utilizing clothing attributes to refine the transferred clothing geometry a…
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
Qinglin Liu, Zonglin Li, Xiaoqian Lv +3
In this paper, we explore a novel image matting task aimed at achieving efficient inference under various computational cost constraints, specifically FLOP limitations, using a sin…
Revisiting Context Aggregation for Image Matting
Qinglin Liu, Xiaoqian Lv, Quanling Meng +5
Traditional studies emphasize the significance of context information in improving matting performance. Consequently, deep learning-based matting methods delve into designing pooli…