71 citations · 269 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Multi-Kernel Prediction Networks for Denoising of Burst Images
Talmaj Marinč, Vignesh Srinivasan, Serhan Gül +2
In low light or short-exposure photography the image is often corrupted by noise. While longer exposure helps reduce the noise, it can produce blurry results due to the object and…