{"id":2254,"date":"2026-09-21T09:22:20","date_gmt":"2026-09-21T07:22:20","guid":{"rendered":"https:\/\/www.ideas.edu.pl\/?post_type=publikacje&#038;p=2254"},"modified":"2026-09-21T09:47:06","modified_gmt":"2026-09-21T07:47:06","slug":"vegas-video-gaussian-splatting","status":"publish","type":"publikacje","link":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/vegas-video-gaussian-splatting\/","title":{"rendered":"VeGaS: Video Gaussian Splatting"},"content":{"rendered":"<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Implicit Neural Representations (INRs) use neural networks to approximate discrete data as continuous functions. In the context of video data, such models can be used to transform the coordinates of pixel locations, along with frame timestamps (or indices), into RGB color values. Although INRs enable effective compression, they are not suitable for editing purposes. One potential solution is to use a 3D Gaussian Splatting (3DGS)-based model, such as the Video Gaussian Representation (VGR), which is capable of encoding video as a multitude of 3D Gaussians and is applicable to numerous video processing operations, including editing. Nevertheless, in this case, the ability to modify the data is limited to a small set of basic transformations. To address this issue, we introduce the Video Gaussian Splatting (VeGaS) model, which enables complex modifications of video data. To construct VeGaS, we propose a novel family of Folded-Gaussian distributions designed to capture nonlinear dynamics in a video stream and model consecutive frames using 2D Gaussians obtained as respective conditional distributions. Our experiments demonstrate that VeGaS outperforms state-of-the-art solutions in frame reconstruction tasks and allows for expressive modifications of video data.<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Authors: Weronika Smolak-Dy\u017cewska, Dawid Malarz, Kornel Howil, Jan Kaczmarczyk, Marcin Mazur, 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=\"390\" src=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-1024x390.webp\" alt=\"\" class=\"wp-image-2279\" srcset=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-1024x390.webp 1024w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-300x114.webp 300w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-766x292.webp 766w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-1536x586.webp 1536w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-18x7.webp 18w, https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-2048x781.webp 2048w\" 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-2254","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>VeGaS: Video Gaussian Splatting &#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\/vegas-video-gaussian-splatting\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"VeGaS: Video Gaussian Splatting &#8226; IDEAS Instytut Badawczy\" \/>\n<meta property=\"og:description\" content=\"Implicit Neural Representations (INRs) employ neural networks to approximate discrete data as continuous functions. In the context of video data, such models can be utilized to transform the coordinates of pixel locations along with frame occurrence times (or indices) into RGB color values. Although INRs facilitate effective compression, they are unsuitable for editing purposes. One [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ideas.edu.pl\/en\/publikacje\/vegas-video-gaussian-splatting\/\" \/>\n<meta property=\"og:site_name\" content=\"IDEAS Instytut Badawczy\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-21T07:47:06+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"2500\" \/>\n\t<meta property=\"og:image:height\" content=\"953\" \/>\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\\\/vegas-video-gaussian-splatting\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/\",\"name\":\"VeGaS: Video Gaussian Splatting &#8226; IDEAS Instytut Badawczy\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/vegas-1024x390.webp\",\"datePublished\":\"2026-09-21T07:22:20+00:00\",\"dateModified\":\"2026-09-21T07:47:06+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/vegas-1024x390.webp\",\"contentUrl\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/vegas-1024x390.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/vegas-video-gaussian-splatting\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Strona g\u0142\u00f3wna\",\"item\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Publikacje\",\"item\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"VeGaS: Video Gaussian Splatting\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#website\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\",\"name\":\"IDEAS Instytut Badawczy\",\"description\":\"Pa\u0144stwowa jednostka badawczo-naukowa\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#organization\"},\"alternateName\":\"IDEAS\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.ideas.edu.pl\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#organization\",\"name\":\"IDEAS Instytut Badawczy\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/e90241d6e73025d0d829abc28d67cb84.svg\",\"contentUrl\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/e90241d6e73025d0d829abc28d67cb84.svg\",\"width\":152,\"height\":43,\"caption\":\"IDEAS Instytut Badawczy\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"VeGaS: Video Gaussian Splatting &#8226; IDEAS Instytut Badawczy","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/vegas-video-gaussian-splatting\/","og_locale":"en_US","og_type":"article","og_title":"VeGaS: Video Gaussian Splatting &#8226; IDEAS Instytut Badawczy","og_description":"Implicit Neural Representations (INRs) employ neural networks to approximate discrete data as continuous functions. In the context of video data, such models can be utilized to transform the coordinates of pixel locations along with frame occurrence times (or indices) into RGB color values. Although INRs facilitate effective compression, they are unsuitable for editing purposes. One [&hellip;]","og_url":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/vegas-video-gaussian-splatting\/","og_site_name":"IDEAS Instytut Badawczy","article_modified_time":"2026-09-21T07:47:06+00:00","og_image":[{"width":2500,"height":953,"url":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas.webp","type":"image\/webp"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/","url":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/","name":"VeGaS: Video Gaussian Splatting &#8226; IDEAS Instytut Badawczy","isPartOf":{"@id":"https:\/\/www.ideas.edu.pl\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/#primaryimage"},"image":{"@id":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/#primaryimage"},"thumbnailUrl":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-1024x390.webp","datePublished":"2026-09-21T07:22:20+00:00","dateModified":"2026-09-21T07:47:06+00:00","breadcrumb":{"@id":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/#primaryimage","url":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-1024x390.webp","contentUrl":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/vegas-1024x390.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/www.ideas.edu.pl\/publikacje\/vegas-video-gaussian-splatting\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Strona g\u0142\u00f3wna","item":"https:\/\/www.ideas.edu.pl\/"},{"@type":"ListItem","position":2,"name":"Publikacje","item":"https:\/\/www.ideas.edu.pl\/publikacje\/"},{"@type":"ListItem","position":3,"name":"VeGaS: Video Gaussian Splatting"}]},{"@type":"WebSite","@id":"https:\/\/www.ideas.edu.pl\/#website","url":"https:\/\/www.ideas.edu.pl\/","name":"IDEAS Research Institute","description":"State research and scientific unit","publisher":{"@id":"https:\/\/www.ideas.edu.pl\/#organization"},"alternateName":"IDEAS","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.ideas.edu.pl\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.ideas.edu.pl\/#organization","name":"IDEAS Research Institute","url":"https:\/\/www.ideas.edu.pl\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.ideas.edu.pl\/#\/schema\/logo\/image\/","url":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/e90241d6e73025d0d829abc28d67cb84.svg","contentUrl":"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/e90241d6e73025d0d829abc28d67cb84.svg","width":152,"height":43,"caption":"IDEAS Instytut Badawczy"},"image":{"@id":"https:\/\/www.ideas.edu.pl\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/publikacje\/2254","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/publikacje"}],"about":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/types\/publikacje"}],"wp:attachment":[{"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/media?parent=2254"}],"wp:term":[{"taxonomy":"nazwa-konferencji","embeddable":true,"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/nazwa-konferencji?post=2254"},{"taxonomy":"rodzaj-publikacji","embeddable":true,"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/rodzaj-publikacji?post=2254"},{"taxonomy":"rok-publikacji","embeddable":true,"href":"https:\/\/www.ideas.edu.pl\/en\/wp-json\/wp\/v2\/rok-publikacji?post=2254"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}