3 papers
cs.CV2026
Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
Dasith de Silva Edirimuni, Ajmal Saeed Mian
Most 3D scene generation methods are limited to only generating object bounding box parameters while newer diffusion methods also generate class labels and latent features. Using o…
cs.GR2025
A Survey of Deep Learning-based Point Cloud Denoising
Jinxi Wang, Ben Fei, Dasith de Silva Edirimuni +3
Accurate 3D geometry acquisition is essential for a wide range of applications, such as computer graphics, autonomous driving, robotics, and augmented reality. However, raw point c…
cs.GR2025
Hybrid Long and Short Range Flows for Point Cloud Filtering
Dasith de Silva Edirimuni, Xuequan Lu, Ajmal Saeed Mian +4
Point cloud capture processes are error-prone and introduce noisy artifacts that necessitate filtering/denoising. Recent filtering methods often suffer from point clustering or noi…