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.
By Pedro Martin, Ant\'onio Rodrigues, Jo\~ao Ascenso, Maria Paula Queluz
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...
By Feiyang Yu, Qi Yang, Wenjie Huang, Yunfeng Guan, Yiling Xu, Zhu Li
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...
By Chenhao Zhang, Fengqing Zhu
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...
By Huiping Ren, Shuai Wan, Luqian Bai, Zhang Chen, Fuzheng Yang
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.
By Haoran Liu, Di Wu, Wang Luo, Hengyuan Na, Miao Hu, Guocong Quan
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.
By Wieland Morgenstern, Friedrich Elias Branschke, Florian Fleischmann, Adrian Szatmari, Paul Schlack, Florian Barthel, Peter Eisert, Anna Hilsmann
arXiv:2609.34367v2 Announce Type: replace
Abstract: Learned image codecs (LICs) achieve high reconstruction quality, but their decoding speed is often insufficient for immersive virtual reality (VR)....
By Yulong Cheng, Youneng Bao, Junfeng Zhou, Mu Li, Jie Wen
arXiv:2610.20590v1 Announce Type: new
Abstract: Feed-forward 3D Gaussian Splatting (3DGS) methods enable efficient reconstruction of 3D scenes from sparse multi-view images in a single forward pass,...
By Seungmi Choi, Ji-Hyoun Choi, Suhyun Jo, Tae-Gwon Park, Hui Yong Kim
arXiv:2609.25633v1 Announce Type: cross
Abstract: Dynamic 3D Gaussian splats (3DGS) model time-varying scenes using a separate Gaussian set per frame. While neighboring video frames are highly correl...
By Chenjunjie Wang, Zixi Huang, Yao Wang, Jona Ball\'e
OC-GS introduces an object‑centric Gaussian splatting method that refines the angle of each image while keeping a shared camera, rotation axis, and pivot for turntable reconstruction. By jointly optimizing image‑derived geometry and angles, it reconstructs objects from sparse, irregular captures and outperforms four pose‑free Gaussian splatting baselines across various view counts. Ablation studies confirm that both image‑derived angle initialization and the shared motion model are essential for the observed improvements, with real captures showing a 0.70 dB PSNR gain.
By Jae Joong Lee, Bedrich Benes
arXiv:2501.13558v4 Announce Type: replace
Abstract: Splat-based radiance fields have rapidly diversified in primitive type, kernel support, and appearance parameterization. This diversity makes compr...
By Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione
arXiv:2605.25563v2 Announce Type: replace
Abstract: While feed-forward 3D Gaussian splatting reconstructs renderable Gaussian primitives from sparse context views without per-scene optimization, exis...
By Pengpeng Yu, Runqing Jiang, Qi Zhang, Dingquan Li, Jing Wang, Yulan Guo