30 citations · 50 across the 7 of their papers we have counts for
9 papers · 1 filter
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model
Wei Song, Jun Zhou, Mingjie Wang +3
This paper focuses on the recently popular task of point cloud completion guided by multimodal information. Although existing methods have achieved excellent performance by fusing…
ALR-GAN: Adaptive Layout Refinement for Text-to-Image Synthesis
Hongchen Tan, Baocai Yin, Kun Wei +2
We propose a novel Text-to-Image Generation Network, Adaptive Layout Refinement Generative Adversarial Network (ALR-GAN), to adaptively refine the layout of synthesized images with…
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds
Xiantong Zhao, Yinan Han, Shengjing Tian +2
Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlatio…
DR-GAN: Distribution Regularization for Text-to-Image Generation
Hongchen Tan, Xiuping Liu, Baocai Yin +1
This paper presents a new Text-to-Image generation model, named Distribution Regularization Generative Adversarial Network (DR-GAN), to generate images from text descriptions from…
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
Jun Zhou, Wei Jin, Mingjie Wang +3
With the burst development of neural networks in recent years, the task of normal estimation has once again become a concern. By introducing the neural networks to classic methods…
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
Jun Zhou, Wei Jin, Mingjie Wang +3
This paper presents an effective normal estimation method adopting multi-patch stitching for an unstructured point cloud. The majority of learning-based approaches encode a local p…