{"id":295,"date":"2025-11-20T11:54:23","date_gmt":"2025-11-20T11:54:23","guid":{"rendered":"https:\/\/www.ieeesmc.org\/cai-2026\/?page_id=295"},"modified":"2025-12-19T20:26:45","modified_gmt":"2025-12-19T20:26:45","slug":"tutorial-6-from-images-to-3d-environments","status":"publish","type":"page","link":"https:\/\/www.ieeesmc.org\/cai-2026\/tutorial-6-from-images-to-3d-environments\/","title":{"rendered":"Tutorial 6: From Images to 3D environments: A Hands-on Journey into Radiance Fields and Gaussian Splatting"},"content":{"rendered":"<p style=\"font-size: 1.2em; font-weight: bold;\">Speakers<\/p>\n<ul>\n<li><a href=\"https:\/\/www.linkedin.com\/in\/rodrigocabello\/\">Manuel Rodrigo Cabello Malagon<\/a> (Principal AI Research Engineer at Plain Concepts)<\/li>\n<li><a href=\"mailto:jcarnero@plainconcepts.com\">Javier Carnero Iglesias<\/a> (Senior Research Manager at Plain Concepts)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 1.2em; font-weight: bold;\">Abstract<\/p>\n<p>This tutorial demonstrates how to create, train, and analyze photorealistic 3D environments<br \/>\nusing Radiance Field techniques, with a particular focus on Gaussian Splatting. Attendees will be<br \/>\nguided through the full workflow, from data acquisition and preprocessing, through model<br \/>\ntraining and optimization, to semantic analysis and AI-driven scene understanding.<\/p>\n<p>A key part of the tutorial will focus on how AI models can extract insights from trained radiance<br \/>\nfields, enabling the detection, localization, and interpretation of objects within reconstructed<br \/>\nenvironments. Participants will learn how to combine 3D scene representation with computer<br \/>\nvision and deep learning techniques to build intelligent spatial systems capable of understanding<br \/>\nthe content and structure of a scene.<\/p>\n<p>Using Evergine, a high-performance 3D engine developed by Plain Concepts, we will showcase<br \/>\na live interactive demo where a reconstructed environment is rendered and semantically<br \/>\ninterpreted in real time, allowing AI models to \u201csee\u201d and reason about the 3D world.<\/p>\n<p>The session blends theory, practical guidance, and live demonstrations, bridging the gap<br \/>\nbetween AI-based 3D reconstruction and intelligent scene analysis. It is ideal for researchers,<br \/>\nengineers, and practitioners working in computer vision, graphics, and AI for spatial computing.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 1.2em; font-weight: bold;\">Target Audience<\/p>\n<p><strong>The tutorial is designed for:<\/strong><\/p>\n<ul>\n<li>Researchers and professionals in AI, computer vision, 3D graphics, and mixed reality.<\/li>\n<li>Graduate students and developers exploring neural rendering, scene reconstruction, or AI-based visualization.<\/li>\n<\/ul>\n<p>Expected prior knowledge:<\/p>\n<ul>\n<li>Basic understanding of computer vision and deep learning concepts.<\/li>\n<li>Familiarity with Python and Deep Learning frameworks (e.g., PyTorch).<\/li>\n<li>No prior experience with Gaussian Splatting or Radiance Fields required.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 1.2em; font-weight: bold;\">Outline and Description of the Tutorial<\/p>\n<p><strong>1. Introduction to Radiance Fields<\/strong><\/p>\n<ul>\n<li>Overview of NeRFs and Gaussian Splatting techniques.<\/li>\n<li>Comparison of approaches: accuracy, efficiency, and scalability<\/li>\n<\/ul>\n<p><strong>2. Data Acquisition and Preprocessing<\/strong><\/p>\n<ul>\n<li>Capturing data. Best practices.<\/li>\n<li>Data cleaning, calibration, and normalization.<\/li>\n<\/ul>\n<p><strong>3. Model Training and Optimization<\/strong><\/p>\n<ul>\n<li>Hyperparameters tunning.<\/li>\n<li>Optimization techniques for speed and visual quality<\/li>\n<\/ul>\n<p><strong>4. Extracting Semantic and Spatial Information<\/strong><\/p>\n<ul>\n<li>Integrating object detection and segmentation models<\/li>\n<li>Building semantic layers for AI-driven spatial understanding<\/li>\n<\/ul>\n<p><strong>5. Real-Time Visualization with Evergine<\/strong><\/p>\n<ul>\n<li>Rendering Gaussian Splatting scenes in Evergine<\/li>\n<li>Interacting with AI-understood environments live<\/li>\n<\/ul>\n<p><strong>6. Wrap-up and Discussion<\/strong><\/p>\n<ul>\n<li>Future research directions<\/li>\n<li>Resources and community tools<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 1.2em; font-weight: bold;\">Reading List<\/p>\n<p><strong>Introductory Material:<\/strong><\/p>\n<ul>\n<li>Mildenhall et al., NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, ECCV 2020.<\/li>\n<li>Kerbl et al., 3D Gaussian Splatting for Real-Time Radiance Field Rendering, SIGGRAPH 2023.<\/li>\n<\/ul>\n<p><strong>Recommended Reading before the tutorial:<\/strong><\/p>\n<ul>\n<li>Introduction to Gaussian Splatting: <a href=\"https:\/\/www.plainconcepts.com\/3d-gaussian-splatting\/\">3D Gaussian SplattingPlain Concepts<\/a><\/li>\n<li>Object detection: <a href=\"https:\/\/ai.meta.com\/dinov3\/\">DINOv3<\/a><\/li>\n<li>3D Gaussian Splatting as Markov Chain Monte Carlo: <a href=\"https:\/\/arxiv.org\/abs\/2404.09591\">[2404.09591] 3D Gaussian Splatting as Markov Chain Monte Carlo<\/a><\/li>\n<li>Introduction to nerfstudio: <a href=\"https:\/\/docs.nerf.studio\/\">https:\/\/docs.nerf.studio\/<\/a><\/li>\n<\/ul>\n<p><strong>Further reading:<\/strong><\/p>\n<ul>\n<li>Official Evergine documentation: <a href=\"https:\/\/docs.evergine.com\/2025.3.18\/\">Evergine Documentation | Evergine Doc<\/a><\/li>\n<li>Introduction to 3D rendering methods: <a href=\"https:\/\/www.plainconcepts.com\/digital-twins-3d-gaussian-splatting\/\">Digital Twins: Precision of 3D Gaussian SplattingPlain Concepts<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 1.2em; font-weight: bold;\">Vertical<\/p>\n<p>Cutting-edge AI Research<\/p>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 1.2em; font-weight: bold;\">Timeline<\/p>\n<p>2 hours<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Speakers Manuel Rodrigo Cabello Malagon (Principal AI Research Engineer at Plain Concepts) Javier Carnero Iglesias (Senior Research Manager at Plain Concepts) &nbsp; Abstract This tutorial demonstrates how to create, train, and analyze photorealistic 3D environments using Radiance Field techniques, with a particular focus on Gaussian Splatting. Attendees will be guided through the full workflow, from&#8230;<\/p>\n","protected":false},"author":2627,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Radiance Fields and Gaussian Splatting: A Hands-on Journey<\/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.ieeesmc.org\/cai-2026\/tutorial-6-from-images-to-3d-environments\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Radiance Fields and Gaussian Splatting: A Hands-on Journey\" \/>\n<meta property=\"og:description\" content=\"Speakers Manuel Rodrigo Cabello Malagon (Principal AI Research Engineer at Plain Concepts) Javier Carnero Iglesias (Senior Research Manager at Plain Concepts) &nbsp; Abstract This tutorial demonstrates how to create, train, and analyze photorealistic 3D environments using Radiance Field techniques, with a particular focus on Gaussian Splatting. 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