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20212024
most citedUnsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds

50 citations · 74 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Dual Attribute-Spatial Relation Alignment for 3D Visual Grounding

Yue Xu, Kaizhi Yang, Jiebo Luo +1

3D visual grounding is an emerging research area dedicated to making connections between the 3D physical world and natural language, which is crucial for achieving embodied intelli…

cs.CV2024★ 21 cited

GaussianPro: 3D Gaussian Splatting with Progressive Propagation

Kai Cheng, Xiaoxiao Long, Kaizhi Yang +5

The advent of 3D Gaussian Splatting (3DGS) has recently brought about a revolution in the field of neural rendering, facilitating high-quality renderings at real-time speed. Howeve…

cs.CV2023

DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects

Qingyao Shuai, Chi Zhang, Kaizhi Yang +1

Unsupervised methods for reconstructing structures face significant challenges in capturing the geometric details with consistent structures among diverse shapes of the same catego…

cs.CV2023★ 3 cited

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang +3

We present MovingParts, a NeRF-based method for dynamic scene reconstruction and part discovery. We consider motion as an important cue for identifying parts, that all particles on…

cs.CV2021★ 50 cited

Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds

Kaizhi Yang, Xuejin Chen

Representing complex 3D objects as simple geometric primitives, known as shape abstraction, is important for geometric modeling, structural analysis, and shape synthesis. In this p…