参考文献
• ラスタライゼーション
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Computer Vision and Pattern Recognition (pp. 8280-8290).
• Petersen, F., Goldluecke, B., Borgelt, C., & Deussen, O. (2022). Gendr: A generalized differentiable renderer. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp.
4002-4011).
• Takimoto, Y., Sato, H., Takehara, H., Uragaki, K., Tawara, T., Liang, X., ... & Zheng, B. (2022, May). Dressi: A Hardware‐Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization.
In Computer Graphics Forum (Vol. 41, No. 2, pp. 13-27).
• Cole, F., Genova, K., Sud, A., Vlasic, D., & Zhang, Z. (2021). Differentiable surface rendering via non-differentiable sampling. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp.
6088-6097).
• Laine, S., Hellsten, J., Karras, T., Seol, Y., Lehtinen, J., & Aila, T. (2020). Modular primitives for high-performance differentiable rendering. ACM Transactions on Graphics (TOG), 39(6), 1-14.
• Ravi, N., Reizenstein, J., Novotny, D., Gordon, T., Lo, W. Y., Johnson, J., & Gkioxari, G. (2020). Accelerating 3d deep learning with pytorch3d. arXiv preprint arXiv:2007.08501.
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• レイトレ：Edge sampling
• Li, T. M., Aittala, M., Durand, F., & Lehtinen, J. (2018). Differentiable monte carlo ray tracing through edge sampling. ACM Transactions on Graphics (TOG), 37(6), 1-11.
• レイトレ：Path-space
• Zhang, C., Miller, B., Yan, K., Gkioulekas, I., & Zhao, S. (2020). Path-space differentiable rendering. ACM transactions on graphics, 39(4).
• レイトレ：Area sampling
• Bangaru, S. P., Li, T. M., & Durand, F. (2020). Unbiased warped-area sampling for differentiable rendering. ACM Transactions on Graphics (TOG), 39(6), 1-18.
• Loubet, G., Holzschuch, N., & Jakob, W. (2019). Reparameterizing discontinuous integrands for differentiable rendering. ACM Transactions on Graphics (TOG), 38(6), 1-14.
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