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We propose in this paper a Quantized Distilled Low-Rank Neural Radiance Field (QDLR-NeRF) representation for the task of light field compression.
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NeRF − − -- : Neural radiance fields without known camera parameters,
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W. Ahmad, M. Ghafoor, S. A. Tariq, A. Hassan, M. Sjostrom, R. Olsson, · 2019
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Light field compression using fourier disparity layers,
E. Dib, M. L. Pendu, C. Guillemot, · 2019
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D. Liu, P. An, R. Ma, W. Zhan, X. Huang, A. Yahya, · 2019
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DVC: An end-to-end deep video compression framework,
G. Lu, W. Ouyang, D. Xu, X. Zhang, C. Cai, Z. Gao, · 2019
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A framework for learning depth from a flexible subset of dense and sparse light field views,
J. Shi, X. Jiang, C. Guillemot, · 2019
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Steered mixture-of-experts for light field images and video: Representation and coding,
R. Verhack, T. Sikora, G. V. Wallendael, P. Lambert, · 2020
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NeRF: Representing scenes as neural radiance fields for view synthesis,
B. Mildenhall, P. Srinivasan, M. Tancik, J. Barron, R. Ramamoorthi, R. Ng, · 2020
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Z. Wang, S. Wu, W. Xie, M. Chen, V. Prisacariu, · 2021
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Y. Jeong, S. Ahn, C. Choy, A. Anandkumar, M. Cho, J. Park, · 2021
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SIGNET: Efficient neural representation for light fields,
B. Y. Feng, A. Varshney, · 2021
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Light field compression with graph learning and dictionary-guided sparse coding,
Y. Zhang, W. Dai, Y. Li, C. Li, J. Hou, J. Zou, H. Xiong, · 2022
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Low bitrate light field compression with geometry and content consistency,
X. Huang, P. An, Y. Chen, D. Liu, L. Shen, · 2022
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Jpeg pleno, https://jpeg.org/jpegpleno/ , 2022
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Light field compression via compact neural scene representation,
J. Shi, C. Guillemot, · 2023
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