دورية أكاديمية
Dynamic ocean inverse modeling based on differentiable rendering
| العنوان: | Dynamic ocean inverse modeling based on differentiable rendering |
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| المؤلفون: | Xueguang Xie, Yang Gao, Fei Hou, Aimin Hao, Hong Qin |
| المصدر: | Computational Visual Media, Vol 10, Iss 2, Pp 279-294 (2024) |
| بيانات النشر: | SpringerOpen, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | inverse modeling, surface reconstruction, wave modeling, ocean waves, differentiable rendering (DR), Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Abstract Learning and inferring underlying motion patterns of captured 2D scenes and then re-creating dynamic evolution consistent with the real-world natural phenomena have high appeal for graphics and animation. To bridge the technical gap between virtual and real environments, we focus on the inverse modeling and reconstruction of visually consistent and property-verifiable oceans, taking advantage of deep learning and differentiable physics to learn geometry and constitute waves in a self-supervised manner. First, we infer hierarchical geometry using two networks, which are optimized via the differentiable renderer. We extract wave components from the sequence of inferred geometry through a network equipped with a differentiable ocean model. Then, ocean dynamics can be evolved using the reconstructed wave components. Through extensive experiments, we verify that our new method yields satisfactory results for both geometry reconstruction and wave estimation. Moreover, the new framework has the inverse modeling potential to facilitate a host of graphics applications, such as the rapid production of physically accurate scene animation and editing guided by real ocean scenes. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2096-0433 2096-0662 |
| Relation: | https://doaj.org/toc/2096-0433; https://doaj.org/toc/2096-0662 |
| DOI: | 10.1007/s41095-023-0338-4 |
| URL الوصول: | https://doaj.org/article/b6f8e561e18b4218b803bdfe53638c1f |
| رقم الأكسشن: | edsdoj.b6f8e561e18b4218b803bdfe53638c1f |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20960433 20960662 |
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| DOI: | 10.1007/s41095-023-0338-4 |