Triplane-Smoothed Video Dehazing with CLIP-Enhanced Generalization
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11263-024-02161-0.pdf
Reference76 articles.
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3. Barron, J. T., Mildenhall, B., Verbin, D., et al. (2022). Mip-nerf 360: Unbounded anti-aliased neural radiance fields. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 5470–5479).
4. Cao, A., & Johnson, J. (2023). Hexplane: A fast representation for dynamic scenes. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 130–141).
5. Chan, E. R., Lin, C. Z., Chan, M. A., et al. (2022a). Efficient geometry-aware 3d generative adversarial networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 16123–16133).
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