4 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…
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…
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…
Open GOP Resolution Switching in HTTP Adaptive Streaming with VVC
Robert Skupin, Christian Bartnik, Adam Wieckowski +4
The user experience in adaptive HTTP streaming relies on offering bitrate ladders with suitable operation points for all users and typically involves multiple resolutions. While op…