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