Transform-Aligned Learned Features for Lossy Point Cloud Attribute Compression

arXiv:2609.34834 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-10-02

Terminology

Alignment — 27× in this paper · explained in 1 episode
Quantization — 27× in this paper · explained in 12 episodes
Point Clouds — 9× in this paper · explained in 2 episodes
Reconstruction Error — 8× in this paper · explained in 2 episodes
Transform-Aligned Learned Features — 7× in this paper
Ablation — 4× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Transformer — 3× in this paper · explained in 2 episodes
Adam — 2× in this paper · explained in 2 episodes
Latent Representation — 2× in this paper · explained in 2 episodes
Latent Representations — 2× in this paper · explained in 3 episodes
3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Adaptive Graph — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Gaussian Splatting — 1× in this paper · explained in 4 episodes
Generative AI — 1× in this paper · explained in 2 episodes
ITU-T Video Coding Experts Group — 1× in this paper
Modularity — 1× in this paper · explained in 9 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Verification — 1× in this paper · explained in 2 episodes
Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

Related papers