arXiv Computer Vision
Efficient Gaussian Splatting Sequence Compression with Standard Video Codecs
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
Related stories
arXiv Computer Vision
Oct 2
GS-PQM: A Parameter-Domain Quality Metric for Compressed Gaussian Splatting
The paper introduces GS-PQM, a full-reference quality metric designed for compressed Gaussian Splatting (GS) models. Unlike traditional metrics that depend on rendered images or videos, GS-PQM evaluates perceptual quality directly in the GS parameter domain using a Support Vector Regression model. Experiments demonstrate that GS-PQM outperforms 25 existing image, video, and point‑cloud quality metrics, offering a more accurate and computationally efficient alternative to rendering‑based assessment.
arXiv Computer Vision
4d ago
Codec-Compatible Learned Compression for 3D Gaussian Splatting
arXiv:2610.26920v1 Announce Type: cross Abstract: Video-based 3D Gaussian Splatting (3DGS) compression methods provide a practical route by representing Gaussian attributes as 2D maps and coding them...
arXiv Computer Vision
Sep 15
Deformable 2D Gaussian Splatting for Efficient 4K Video Compression
arXiv:2609.14129v1 Announce Type: cross Abstract: Ultra-High-Definition (UHD) video presents significant challenges for efficient storage and real-time decoding. Learning-based methods, such as Neura...
arXiv Computer Vision
Oct 15
RDCompGS: Rate-Distortion Optimization for Compression of 3D Gaussian Splatting with Image Codecs
arXiv:2610.19538v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) enables high-quality, real-time novel view synthesis but requires significant storage and transmission resources. Mapping...
arXiv Computer Vision
Oct 16
ResStreamGS: Residual-Sensitive Dual-Stream Gaussian Splatting for Mobile Volumetric Video Streaming
ResStreamGS introduces a residual‑sensitive dual‑stream framework for mobile volumetric video streaming that distinguishes temporally stable Gaussians from residual‑sensitive ones. Stable Gaussians are transmitted once per Group of Pictures, while only the residual‑sensitive Gaussians are included in the frame‑wise video stream, reducing bandwidth usage. Experiments on complex full‑scene videos show a 7.51–8.35 dB PSNR improvement over a V³‑style baseline, a payload reduction of up to 56.5%, and real‑time performance of 30.883 FPS on a Qualcomm Snapdragon 778G.
arXiv Computer Vision
Aug 28
KISS-GS: 3D Gaussian Splatting Compression Kept Simple
KISS-GS is a modular compression pipeline for 3D Gaussian Splatting (3DGS) scenes that separates compression from training. It first compacts a vanilla 3DGS scene by 15.7× using state‑of‑the‑art pruning, then encodes the result into the SOG‑XT image‑based format, achieving an additional 6.6× reduction. Optional encoding‑aware fine‑tuning can further cut the size by 2.2×, yielding total reductions of 85× to 319× on standard benchmarks while enabling web‑native decoding.