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English(EN) Eulerian Motion Reconstruction for Water Scenery

新方法从单个视频中重建和动画化水景

研究人员开发了一种从单个2D视频重建和动画化水景的新方法。该技术通过将运动表示为平流高斯样条的3D欧拉运动场来创建动态的4D重建。该框架还包含一个时变残差项来捕获非周期性和随机动力学,从而产生超越先前方法的照片级真实感动画。 AI

影响 为水景动画带来更具沉浸感和交互性的视觉体验。

排序理由 该项目是一篇提交给arXiv的研究论文,详细介绍了一种新的技术方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新方法从单个视频中重建和动画化水景

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该项目是一篇提交给arXiv的研究论文,详细介绍了一种新的技术方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chuhan Chen, Yen-Chi Cheng, Ayush Saraf, Rajvi Shah, Tuotuo Li, Johannes Kopf, Chen Gao, Hung-Yu Tseng, Deva Ramanan, Matthew O'Toole, Changil Kim ·

    Eulerian Motion Reconstruction for Water Scenery

    arXiv:2609.38622v1 Announce Type: new Abstract: Reconstructing and animating water scenery from nature produces compelling and immersive visual experiences. Previous work examined this task from the perspective of 2D video textures, with the goal of creating a looping video. In o…