{"id":2256,"date":"2026-09-21T09:21:32","date_gmt":"2026-09-21T07:21:32","guid":{"rendered":"https:\/\/www.ideas.edu.pl\/?post_type=publikacje&#038;p=2256"},"modified":"2026-09-21T09:49:39","modified_gmt":"2026-09-21T07:49:39","slug":"gasp-gaussian-splatting-for-physics-based-simulations","status":"publish","type":"publikacje","link":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/gasp-gaussian-splatting-for-physics-based-simulations\/","title":{"rendered":"GASP: Gaussian Splatting for physics-based simulations"},"content":{"rendered":"<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Physics simulation is essential for modeling and utilizing 3D scenes in various real-world applications. However, integrating with state-of-the-art 3D scene rendering techniques such as Gaussian Splatting (GS) remains challenging. Existing models use additional meshing mechanisms, including triangle or tetrahedron meshing, marching cubes, or cage meshes. Alternatively, we can modify the physics-based Newtonian dynamics to align with 3D Gaussian components. Current models use a first-order approximation of a deformation map, which locally approximates the dynamics using linear transformations. In contrast, our GS for Physics-Based Simulations (GASP) pipeline uses parametrized flat Gaussian distributions. Consequently, the problem of modeling Gaussian components using the physics engine is reduced to working with 3D points. In our work, we present additional rules for manipulating Gaussians, demonstrating how to adapt the pipeline to incorporate meshes, control Gaussian sizes during simulations, and enhance simulation efficiency. This is achieved through the Gaussian grouping strategy, which implements hierarchical structuring and enables simulations to be performed exclusively on selected Gaussians. The resulting solution can be integrated into any physics engine that can be treated as a black box. As demonstrated in our studies, the proposed pipeline exhibits superior performance on a diverse range of benchmark datasets designed for 3D object rendering. <\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Authors: Piotr Borycki, Weronika Smolak, Joanna Waczy\u0144ska, Marcin Mazur, S\u0142awomir Tadeja, Przemys\u0142aw Spurek<\/p>\n\n\n\n<div style=\"height:64px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-5ab56a3c wp-block-group-is-layout-grid\">\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"536\" src=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-1024x536.webp\" alt=\"\" class=\"wp-image-2283\" srcset=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-1024x536.webp 1024w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-300x157.webp 300w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-766x401.webp 766w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-1536x804.webp 1536w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-2048x1072.webp 2048w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-18x9.webp 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-5ab56a3c wp-block-group-is-layout-grid\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"template":"","nazwa-konferencji":[],"rodzaj-publikacji":[38],"rok-publikacji":[27],"class_list":["post-2256","publikacje","type-publikacje","status-publish","hentry","rodzaj-publikacji-artykul-w-czasopismie","rok-publikacji-27"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GASP: Gaussian Splatting for physics-based simulations &#8226; IDEAS Instytut Badawczy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ideas.edu.pl\/en\/publikacje\/gasp-gaussian-splatting-for-physics-based-simulations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GASP: Gaussian Splatting for physics-based simulations &#8226; IDEAS Instytut Badawczy\" \/>\n<meta property=\"og:description\" content=\"Physics simulation is paramount for modeling and utilizing 3D scenes in various real-world applications. However, integrating with state-of-the-art 3D scene rendering techniques such as Gaussian Splatting (GS) remains challenging. Existing models use additional meshing mechanisms, including triangle or tetrahedron meshing, marching cubes, or cage meshes. Alternatively, we can modify the physics-grounded Newtonian dynamics to align [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ideas.edu.pl\/en\/publikacje\/gasp-gaussian-splatting-for-physics-based-simulations\/\" \/>\n<meta property=\"og:site_name\" content=\"IDEAS Instytut Badawczy\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-21T07:49:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/gasp-scaled.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1340\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/gasp-gaussian-splatting-for-physics-based-simulations\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/gasp-gaussian-splatting-for-physics-based-simulations\\\/\",\"name\":\"GASP: Gaussian Splatting for physics-based simulations &#8226; 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