most cited3D-FUTURE: 3D Furniture shape with TextURE

16 citations · 26 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GR20211 cited

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint

Yu-Jie Yuan, Yu-Kun Lai, Tong Wu +2

3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graph…

cs.CV20212 cited

Deep Deformation Detail Synthesis for Thin Shell Models

Lan Chen, Lin Gao, Jie Yang +4

In physics-based cloth animation, rich folds and detailed wrinkles are achieved at the cost of expensive computational resources and huge labor tuning. Data-driven techniques make…

cs.GR20206 cited

Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders

Jie Yang, Lin Gao, Qingyang Tan +3

Deformation component analysis is a fundamental problem in geometry processing and shape understanding. Existing approaches mainly extract deformation components in local regions a…

cs.CV20201 cited

RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval

Rao Fu, Jie Yang, Jiawei Sun +3

Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to be…

cs.CV202016 cited

3D-FUTURE: 3D Furniture shape with TextURE

Huan Fu, Rongfei Jia, Lin Gao +4

The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric details and less informative textur…

cs.GR2020

STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image

Aihua Mao, Canglan Dai, Lin Gao +2

3D reconstruction from a single view image is a long-standing prob-lem in computer vision. Various methods based on different shape representations(such as point cloud or volumetri…