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New CascadeRS framework synthesizes realistic rain and wet surface effects

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了CascadeRS，一个用于在计算机视觉应用中合成逼真雨水和湿表面效果的新框架。与之前仅关注雨滴条纹的方法不同，CascadeRS利用场景深度和分割先验，整合了与场景一致的反射和水坑。这种受物理学启发的算法生成了照片般逼真的下雨城市场景，并通过用户研究和定量分析进行了验证，并引入了Cityscapes-CascadeRS数据集来评估在真实下雨条件下下游任务的性能。 AI

影响 增强了在恶劣天气条件下运行的计算机视觉系统的真实感和鲁棒性。

排序理由 该集群包含一篇详细介绍计算机视觉新合成框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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New CascadeRS framework synthesizes realistic rain and wet surface effects

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该集群包含一篇详细介绍计算机视觉新合成框架的研究论文。[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) · Melissa Tijink, Kirill Tolstobrov, Shunxin Wang, Estefania Talavera, Duc V. Le, Luuk Spreeuwers, Shaodi You, Nicola Strisciuglio ·

    雨水超越条纹：通过场景先验进行级联真实雨水和湿表面合成

    arXiv:2611.07793v1 Announce Type: new Abstract: Realistic rain synthesis is a persistent challenge for vision systems operating in adverse weather. Existing methods primarily focus on generating rain streaks, often neglecting consequent surface effects such as reflections and pud…

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