RayFormer improves NeRF reconstruction for video SCI by replacing random ray sampling with patch-level sampling, adding a transformer to capture inter- and intra-ray structural similarities, and incorporating a total variation prior, achieving SOTA results on simulated and real scenes.
Residual degradation learning unfolding framework with mixing priors across spectral and spatial for compressive spectral imaging,
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RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging
RayFormer improves NeRF reconstruction for video SCI by replacing random ray sampling with patch-level sampling, adding a transformer to capture inter- and intra-ray structural similarities, and incorporating a total variation prior, achieving SOTA results on simulated and real scenes.