Msa-Splatting: Multi-Scale Adaptive Gaussian Splatting for High-Fidelity View Synthesis
数学专题报告
报告题目(Title)：Msa-Splatting: Multi-Scale Adaptive Gaussian Splatting for High-Fidelity View Synthesis
报告人(Speaker)：金其余（兰州大学）
地点(Place)：后主楼1223
时间(Time)：2026年9月11日（周五）16:00-17:00
邀请人(Inviter)：段玉萍
报告摘要
3D Gaussian Splatting (3DGS) has revolutionized novel view synthesis with real-time rendering and high-quality reconstruction. However, its performance degrades under varying scales, causing aliasing and dilation artifacts. To address these challenges, we introduce Msa-Splatting, an enhanced adaptive Gaussian splatting method designed for high-fidelity multi-scale novel view synthesis. Our approach reimagines the Gaussian adaptive control process with a novel multi-fold splitting and cloning mechanism, which optimizes Gaussian properties and reduces spurious artifacts by halving the densification frequency. We further mitigate aliasing in scaled-down renderings with a weighted alpha blending sampling technique, ensuring accurate representation of high-frequency details. To eliminate scale-mismatch artifacts, we introduce 2D variable dilation Gaussians, which dynamically adjust dilation based on the rendering scale. Msa-Splatting significantly enhances the fidelity and adaptability of Gaussian-based rendering, achieving state-of-the-art performance in multi-scale novel view synthesis. Extensive quantitative and qualitative evaluations demonstrate the efficacy of our approach, showcasing its ability to produce perceptually superior renderings with reduced artifacts across varying scales, thus establishing a robust framework for future advancements in scalable rendering technologies.
主讲人简介
金其余，兰州大学教授。法国南布列塔尼大学应用数学博士，巴黎六大、上海交通大学博士后，巴黎-萨克雷高等师范学校访问学者，内蒙古自治区“青年科技英才支持计划”青年科技领军人才，中国数学会医学数学专业委员会委员，中国运筹学会数学规划分会理事。长期与国内外多所大学保持合作，包括法国巴黎-萨克雷高等师范学校、巴黎六大、Centre Inria Rennes等。研究领域包括：图像处理、计算机视觉与最优化。相应成果发表于SIAM Journal on Imaging Sciences、Cell子刊Structure、JSC、JMIV，TIP，TMM，TIM，PR，IP，Miccai等期刊或会议。主持国家自然科学基金、内蒙古自然科学基金等项目多项。
