most citedSTS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

P3-SAM: Native 3D Part Segmentation

Changfeng Ma, Yang Li, Xinhao Yan +7

Segmenting 3D assets into their constituent parts is crucial for enhancing 3D understanding, facilitating model reuse, and supporting various applications such as part generation.…

cs.CV20251 cited

Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

Biwen Lei, Yang Li, Xinhai Liu +97

The creation of high-quality 3D assets, a cornerstone of modern game development, has long been characterized by labor-intensive and specialized workflows. This paper presents Huny…

cs.CV20252 cited

SCANet: Split Coordinate Attention Network for Building Footprint Extraction

Chunshi Wang, Bin Zhao, Shuxue Ding

Building footprint extraction holds immense significance in remote sensing image analysis and has great value in urban planning, land use, environmental protection and disaster ass…

cs.SD20251 cited

SonicGauss: Position-Aware Physical Sound Synthesis for 3D Gaussian Representations

Chunshi Wang, Hongxing Li, Yawei Luo

While 3D Gaussian representations (3DGS) have proven effective for modeling the geometry and appearance of objects, their potential for capturing other physical attributes-such as…

cs.CV20243 cited

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation

Yaqi Wang, Yifan Zhang, Xiaodiao Chen +24

Computer-aided design (CAD) tools are increasingly popular in modern dental practice, particularly for treatment planning or comprehensive prognosis evaluation. In particular, the…

cs.CV2024

A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT

Chunshi Wang, Bin Zhao, Shuxue Ding

Cone beam computed tomography (CBCT) is a common way of diagnosing dental related diseases. Accurate segmentation of 3D tooth is of importance for the treatment. Although deep lear…