activity
20192026
most citedSubdivision-Based Mesh Convolution Networks

130 citations · 275 across the 40 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021

CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene

Haoxiang Chen, Jiahui Huang, Tai-Jiang Mu +1

We present CIRCLE, a framework for large-scale scene completion and geometric refinement based on local implicit signed distance functions. It is based on an end-to-end sparse conv…

cs.CV2021★ 45 cited

Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization

Jiahui Huang, Tolga Birdal, Zan Gojcic +2

We present SyNoRiM, a novel way to jointly register multiple non-rigid shapes by synchronizing the maps relating learned functions defined on the point clouds. Even though the abil…

cs.CV2021

Layered Controllable Video Generation

Jiahui Huang, Yuhe Jin, Kwang Moo Yi +1

We introduce layered controllable video generation, where we, without any supervision, decompose the initial frame of a video into foreground and background layers, with which the…

cs.CV2021★ 130 cited

Subdivision-Based Mesh Convolution Networks

Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo +4

Convolutional neural networks (CNNs) have made great breakthroughs in 2D computer vision. However, their irregular structure makes it hard to harness the potential of CNNs directly…

cs.CV2021★ 4 cited

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

Jiahui Huang, He Wang, Tolga Birdal +4

We present MultiBodySync, a novel, end-to-end trainable multi-body motion segmentation and rigid registration framework for multiple input 3D point clouds. The two non-trivial chal…