33 citations · 109 across the 15 of their papers we have counts for
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cs.CV2023
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset
Haolin Liu, Chongjie Ye, Yinyu Nie +2
Instance shape reconstruction from a 3D scene involves recovering the full geometries of multiple objects at the semantic instance level. Many methods leverage data-driven learning…
cs.CV2023
3D Scene Diffusion Guidance using Scene Graphs
Mohammad Naanaa, Katharina Schmid, Yinyu Nie
Guided synthesis of high-quality 3D scenes is a challenging task. Diffusion models have shown promise in generating diverse data, including 3D scenes. However, current methods rely…
cs.CV2023★ 3 cited
NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
Xiangyu Zhu, Dong Du, Weikai Chen +3
Extracting parametric edge curves from point clouds is a fundamental problem in 3D vision and geometry processing. Existing approaches mainly rely on keypoint detection, a challeng…