3 citations · 3 across the 5 of their papers we have counts for
6 papers
GaussianPOP: Principled Simplification Framework for Compact 3D Gaussian Splatting via Error Quantification
Soonbin Lee, Yeong-Gyu Kim, Simon Sasse +5
Existing 3D Gaussian Splatting simplification methods commonly use importance scores, such as blending weights or sensitivity, to identify redundant Gaussians. However, these score…
3GPP NR V2X Mode 2d: Analysis of Distributed Scheduling for Groupcast using ns-3 5G LENA Simulator
Thomas Fehrenbach, Luis Omar Ortiz Abrego, Cornelius Hellge +2
Vehicle-to-everything (V2X) communication is a key technology for enabling intelligent transportation systems (ITS) that can improve road safety, traffic efficiency, and environmen…
Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs
Soonbin Lee, Fangwen Shu, Yago Sanchez +2
3D Gaussian Splatting is a recognized method for 3D scene representation, known for its high rendering quality and speed. However, its substantial data requirements present challen…
Enhancing Film Grain Coding in VVC: Improving Encoding Quality and Efficiency
Vignesh V Menon, Adam Wieckowski, Christian Stoffers +5
This paper presents an in-depth analysis of film grain handling in open-source implementations of the Versatile Video Coding (VVC) standard. We focus on two key components: the Fil…
Gain of Grain: A Film Grain Handling Toolchain for VVC-based Open Implementations
Vignesh V Menon, Adam Wieckowski, Jens Brandenburg +3
Film grain is a distinctive visual characteristic cherished by filmmakers and cinephiles for its ability to evoke nostalgia and artistic aesthetics. However, faithful preservation…
ECRF: Entropy-Constrained Neural Radiance Fields Compression with Frequency Domain Optimization
Soonbin Lee, Fangwen Shu, Yago Sanchez +2
Explicit feature-grid based NeRF models have shown promising results in terms of rendering quality and significant speed-up in training. However, these methods often require a sign…