3 papers
cs.CV2025
SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
Dekai Zhu, Yixuan Hu, Youquan Liu +3
Leveraging recent diffusion models, LiDAR-based large-scale 3D scene generation has achieved great success. While recent voxel-based approaches can generate both geometric structur…
cs.CV2025
Generative Data Augmentation for Object Point Cloud Segmentation
Dekai Zhu, Stefan Gavranovic, Flavien Boussuge +2
Data augmentation is widely used to train deep learning models to address data scarcity. However, traditional data augmentation (TDA) typically relies on simple geometric transform…
cs.CV2025
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
Dekai Zhu, Yan Di, Stefan Gavranovic +1
Denoising diffusion probabilistic models have achieved significant success in point cloud generation, enabling numerous downstream applications, such as generative data augmentatio…