1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation
Yuan Li, Congyi Zhang, Xifeng Gao +1
Autoregressive multimodal large language models (MLLMs) enable 3D generation but struggle to scale to high-resolution shapes due to inadequate 3D tokenizations. Compact set-based r…
cs.CV2025★ 1 cited
CADDreamer: CAD Object Generation from Single-view Images
Yuan Li, Cheng Lin, Yuan Liu +6
Diffusion-based 3D generation has made remarkable progress in recent years. However, existing 3D generative models often produce overly dense and unstructured meshes, which stand i…
cs.CV2023
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation
Yuan Li, Huan Liu, Yubo Tao +4
Recently, deep learning-based tooth segmentation methods have been limited by the expensive and time-consuming processes of data collection and labeling. Achieving high-precision s…