2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 2 cited
No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
Zheng Li, Bingxu Xie, Chao Chu +2
Geometry quality assessment (GQA) of colorless point clouds is crucial for evaluating the performance of emerging point cloud-based solutions (e.g., watermarking, compression, and…
cs.MM2022★ 1 cited
No-reference Point Cloud Geometry Quality Assessment Based on Pairwise Rank Learning
Zhiyong Su, Chao Chu, Long Chen +2
Objective geometry quality assessment of point clouds is essential to evaluate the performance of a wide range of point cloud-based solutions, such as denoising, simplification, re…