activity
20232026
collaborators

6 papers

cs.CV2026

Compression of 3D Gaussian Splatting Data Using GPU-friendly Graphics Texture Coding

Amir Said, Randall Rauwendaal

Techniques for modeling 3D scenes from image collections, such as 3D Gaussian Splatting (3DGS), are capable of generating high-quality novel views by leveraging graphics primitives…

cs.CV2024

Sort-free Gaussian Splatting via Weighted Sum Rendering

Qiqi Hou, Randall Rauwendaal, Zifeng Li +5

Recently, 3D Gaussian Splatting (3DGS) has emerged as a significant advancement in 3D scene reconstruction, attracting considerable attention due to its ability to recover high-fid…

cs.CV2024

Neural Graphics Texture Compression Supporting Random Access

Farzad Farhadzadeh, Qiqi Hou, Hoang Le +4

Advances in rendering have led to tremendous growth in texture assets, including resolution, complexity, and novel textures components, but this growth in data volume has not been…

cs.CV2024

Low-Latency Neural Stereo Streaming

Qiqi Hou, Farzad Farhadzadeh, Amir Said +2

The rise of new video modalities like virtual reality or autonomous driving has increased the demand for efficient multi-view video compression methods, both in terms of rate-disto…

eess.IV2023

Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs

Amir Said, Hoang Le, Farzad Farhadzadeh

Video compression systems must support increasing bandwidth and data throughput at low cost and power, and can be limited by entropy coding bottlenecks. Efficiency can be greatly i…

eess.IV2023

MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device

Ties van Rozendaal, Tushar Singhal, Hoang Le +10

Neural video codecs have recently become competitive with standard codecs such as HEVC in the low-delay setting. However, most neural codecs are large floating-point networks that…