no code implementations • 7 May 2024 • Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin
Cross-modal knowledge transfer enhances point cloud representation learning in LiDAR semantic segmentation.
no code implementations • 25 Apr 2024 • Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin
We apply this robust fine-tuning method to mainstream 3D point cloud pre-trained models and evaluate the quality of model parameters and the degradation of downstream task performance.
1 code implementation • 19 Dec 2023 • Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin
Based on this process, we introduce SGAS, a model for part editing that employs two strategies: feature disentanglement and constraint.
no code implementations • 6 Feb 2022 • Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin
Besides, the missing patterns are diverse in reality, but existing methods can only handle fixed ones, which means a poor generalization ability.
no code implementations • 13 Dec 2021 • Ximing Yang, Zhibo Zhang, Zhengfu He, Cheng Jin
As details are missing in most representations of structures, the lack of controllability to more information is one of the major weaknesses in structure-based controllable point cloud generation.
1 code implementation • 10 Dec 2021 • Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin
The points generated by AXform do not have the strong 2-manifold constraint, which improves the generation of non-smooth surfaces.