Showing cs.CVShow all
3 papers · 1 filter
cs.CV2025
Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
Gunner Stone, Youngsook Choi, Alireza Tavakkoli +1
Pre-training strategies play a critical role in advancing the performance of transformer-based models for 3D point cloud tasks. In this paper, we introduce Point-RTD (Replaced Toke…
cs.CV2025
Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation
Gunner Stone, Sushmita Sarker, Alireza Tavakkoli
Generating realistic 3D point clouds is a fundamental problem in computer vision with applications in remote sensing, robotics, and digital object modeling. Existing generative app…
cs.CV2024
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
Sushmita Sarker, Prithul Sarker, Gunner Stone +4
Point cloud analysis has a wide range of applications in many areas such as computer vision, robotic manipulation, and autonomous driving. While deep learning has achieved remarkab…