{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/physics-driven-fire-modeling-from-multi-view","title":"Physics-driven Fire Modeling from Multi-view Images","arxiv_id":"1804.05261","date":"2018-04-14","proceeding":null,"authors":["Garoe Dorta","Luca Benedetti","Dmitry Kit","Yong-Liang Yang"],"abstract":"Fire effects are widely used in various computer graphics applications such\nas visual effects and video games. Modeling the shape and appearance of fire\nphenomenon is challenging as the underlying effects are driven by complex laws\nof physics. State-of-the-art fire modeling techniques rely on sophisticated\nphysical simulations which require intensive parameter tuning, or use\nsimplifications which produce physically invalid results. In this paper, we\npresent a novel method of reconstructing physically valid fire models from\nmulti-view stereo images. Our method, for the first time, provides plausible\nestimation of physical properties (e.g., temperature, density) of a fire volume\nusing RGB cameras. This allows for a number of novel phenomena such as global\nfire illumination effects. The effectiveness and usefulness of our method are\ntested by generating fire models from a variety of input data, and applying the\nreconstructed fire models for realistic illumination of virtual scenes.","url_abs":"http://arxiv.org/abs/1804.05261v1","url_pdf":"http://arxiv.org/pdf/1804.05261v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"physics-driven-fire-modeling-from-multi-view","repo_url":"https://github.com/Garoe/bath-fire-shader","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"physical-simulations","task_name":"Physical Simulations"},{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}