17 citations · 39 across the 10 of their papers we have counts for
11 papers · 1 filter
GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details
Zhongjin Luo, Haolin Liu, Chenghong Li +6
Neural implicit functions have brought impressive advances to the state-of-the-art of clothed human digitization from multiple or even single images. However, despite the progress,…
GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond
Chongjie Ye, Yinyu Nie, Jiahao Chang +3
We present GauStudio, a novel modular framework for modeling 3D Gaussian Splatting (3DGS) to provide standardized, plug-and-play components for users to easily customize and implem…
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…
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…
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…
Learning 3D Scene Priors with 2D Supervision
Yinyu Nie, Angela Dai, Xiaoguang Han +1
Holistic 3D scene understanding entails estimation of both layout configuration and object geometry in a 3D environment. Recent works have shown advances in 3D scene estimation fro…