most citedLearning to Construct 3D Building Wireframes from 3D Line Clouds

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry

Jiaxu Zhang, Junwu Weng, Di Kang +7

A good motion retargeting cannot be reached without reasonable consideration of source-target differences on both the skeleton and shape geometry levels. In this work, we propose a…

cs.CV2023

Audio2Gestures: Generating Diverse Gestures from Audio

Jing Li, Di Kang, Wenjie Pei +4

People may perform diverse gestures affected by various mental and physical factors when speaking the same sentences. This inherent one-to-many relationship makes co-speech gesture…

cs.GR20235 cited

Learning Audio-Driven Viseme Dynamics for 3D Face Animation

Linchao Bao, Haoxian Zhang, Yue Qian +4

We present a novel audio-driven facial animation approach that can generate realistic lip-synchronized 3D facial animations from the input audio. Our approach learns viseme dynamic…

cs.CV2023

CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder

Ye Huang, Di Kang, Liang Chen +5

Semantic segmentation has recently achieved notable advances by exploiting "class-level" contextual information during learning. However, these approaches simply concatenate class-…

cs.CV20227 cited

Learning to Construct 3D Building Wireframes from 3D Line Clouds

Yicheng Luo, Jing Ren, Xuefei Zhe +4

Line clouds, though under-investigated in the previous work, potentially encode more compact structural information of buildings than point clouds extracted from multi-view images.…