arXiv Computer Vision By Ruijie Su, Lingxiao Yang, Xiaohua Xie, Jianhuang Lai

VersaGauss: A Versatile Framework for Generating Multiphase Dynamics with 3D Gaussians

Read the original on arXiv Computer Vision →

VersaGauss is a unified framework that generates, simulates, and renders 3D dynamic scenes using 3D Gaussians, supporting multiphase interactions among materials such as fluid, rubber, sand, and snow. It takes a few input images and produces realistic, physics-driven scenes, employing a particle pruning algorithm to optimize Gaussian kernel distribution and a Coupled Multiphase Point Method (CMPM) for modeling multiphase dynamics. The framework also introduces harmonic interpolation within CMPM and a Gaussian evolution strategy to achieve realistic fluid rendering, with extensive experiments validating its performance.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

arXiv AI
Sep 4

TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates

The paper introduces TruncGradGS, a piecewise truncated gradient approach that mitigates gradient vanishing in 3D Gaussian Splatting, enhancing optimization stability and robustness to initializations. It demonstrates consistent improvements over random and COLMAP initializations in both static and dynamic settings. Additionally, the authors highlight limitations of existing dynamic scene benchmarks and present a new synthetic dataset for evaluating dynamic Gaussian Splatting.

By Theo Morales, Nhat-Quynh Le-Pham, Robin Atkins, Binh-Son Hua
arXiv Computer Vision
Sep 2

NanoGS: Training-Free Gaussian Splat Simplification

arXiv:2603.16103v3 Announce Type: replace Abstract: 3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, bu...

By Butian Xiong, Rong Liu, Tiantian Zhou, Meida Chen, Zhiwen Fan, Andrew Feng
arXiv Computer Vision
1d ago

GARO: Geometry-Aware Redundancy Optimization for Real-Time and High-Fidelity Dynamic Gaussian Splatting

arXiv:2609.23509v1 Announce Type: new Abstract: Novel view synthesis is a key task for dynamic scene reconstruction, where high rendering speed is essential for applications such as virtual reality....

By Huiwen Xue (School of Software, Northwestern Polytechnical University), Kaixing Zhao (School of Software, Northwestern Polytechnical University), Zuheng Ming (L2TI, Universit\'e Sorbonne Paris Nord, EmboMind Research), Tingcheng Li (School of Electronic Information,Engineering, Suzhou University of Science,Technology)