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20242026
most cited3D Dental Model Segmentation with Geometrical Boundary Preserving

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

MIAR: Medical Image Super-Resolution With Autoregressive Modeling

Fang Li, Yinglong Li, Hongyu Wu +3

Medical Image Super-Resolution (MISR) aims to enhance spatial resolution without requiring hardware modifications. Although deep learning has yielded promising results, existing pa…

cs.CV2026

VoxStruct3D: Structure-Leading Flow Matching for Voxel-Space 3D MRI Synthesis

Fang Li, Yang Gao, Shihao Zou +5

High-fidelity 3D MRI synthesis requires both globally coherent anatomy and fine-grained voxel-level detail. Although latent diffusion makes volumetric generation tractable, its ima…

cs.CV2026

QuerySplat: Decoupling Geometry and Appearance Representations in 3DGS Prediction

Yinglong Li, Donghui Shen, Xiaoyu Zhang +5

While feed-forward 3D Gaussian Splatting (3DGS) enables efficient 3D reconstruction, achieving high-fidelity rendering remains challenging. Existing pixel-aligned approaches suffer…

cs.CV2025★ 1 cited

3D Dental Model Segmentation with Geometrical Boundary Preserving

Shufan Xi, Zexian Liu, Junlin Chang +3

3D intraoral scan mesh is widely used in digital dentistry diagnosis, segmenting 3D intraoral scan mesh is a critical preliminary task. Numerous approaches have been devised for pr…

cs.CV2024

FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance

Yinglong Li, Hongyu Wu, Xiaogang Wang +4

We propose FaceCom, a method for 3D facial shape completion, which delivers high-fidelity results for incomplete facial inputs of arbitrary forms. Unlike end-to-end shape completio…