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Recent studies in Radiance Fields have paved the robust way for novel view synthesis with their photorealistic rendering quality.
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Hedman, P., Srinivasan, P.P., Mildenhall, B., Barron, J.T., Debevec, P.: Baking neural radiance fields for real-time view synthesis. ICCV (2021)
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2023
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Lee, B., Lee, H., Ali, U., Park, E.: Sharp-nerf: Grid-based fast deblurring neural radiance fields using sharpness prior. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 3709–3718 (2024)
2024
Closest in time.
Nam, S., Rho, D., Ko, J.H., Park, E.: Mip-grid: Anti-aliased grid representations for neural radiance fields. Advances in Neural Information Processing Systems 36
2024
Closest in time.