UGINR: large-scale unstructured grid reduction via implicit neural representation

Author:

Liu Keyuan,Jiao Chenyue,Gao Xin,Bi Chongke

Funder

National Key R &D Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference44 articles.

1. Agustsson E, Mentzer F, Tschannen M, Cavigelli L, Timofte R, Benini L, Van Gool L (2017) Soft-to-hard vector quantization for end-to-end learning compressible representations. In: Proceedings of the 31st international conference on neural information processing systems, pp 1141–1151

2. Ballé J, Laparra V, Simoncelli EP (2016) End-to-end optimized image compression. arXiv:1611.01704

3. Chopra P, Meyer J (2002) Tetfusion: an algorithm for rapid tetrahedral mesh simplification. In: IEEE visualization, 2002. VIS 2002, pp 133–140

4. Dai Z, Deng L, Che Y, Li M, Zhang J, Wang Y (2024) Evaluating performance portability of five shared-memory programming models using a high-order unstructured cfd solver. J Parallel Distrib Comput 187:104831

5. Deng K, Liu A, Zhu J-Y, Ramanan D (2022) Depth-supervised NeRF: fewer views and faster training for free. In: Proceedings of IEEE/CVF conference on computer vision and pattern recognition, pp 12872–12881

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