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English(EN) RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging

RayFormer AI模型在视频快照压缩成像领域达到SOTA

研究人员推出RayFormer,一种用于视频快照压缩成像(SCI)的新方法,可提高重建质量。该方法采用一种块级光线采样策略和光线内/光线间Transformer,以更好地捕捉动态场景中的结构相似性。通过建模空间和深度相关性,RayFormer在从单次快照测量中重建场景方面取得了最先进的性能。 AI

影响 引入了一种新颖的基于Transformer的方法,用于从单次快照改进视频重建。

排序理由 这是一篇详细介绍视频快照压缩成像新方法的学术论文。

在 arXiv cs.CV 阅读 →

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RayFormer AI模型在视频快照压缩成像领域达到SOTA

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Yubo Dong, Danhua Liu, Anqi Li, Zhenyuan Lin ·

    RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging

    arXiv:2604.27702v1 Announce Type: new Abstract: Video snapshot compressive imaging (SCI) enables the reconstruction of dynamic scenes from a single snapshot measurement. Recently, NeRF-based methods have shown promising reconstruction performance. However, such methods typically …

  2. arXiv cs.CV TIER_1 English(EN) · Zhenyuan Lin ·

    RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging

    Video snapshot compressive imaging (SCI) enables the reconstruction of dynamic scenes from a single snapshot measurement. Recently, NeRF-based methods have shown promising reconstruction performance. However, such methods typically adopt random ray sampling strategies and fail to…