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Differentiable Rendering: A Survey

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Shohei Hido: A survey paper on differentiable rendering - based on the collaboration between Toyota Research Institute, TRI-AD, and Preferred Networks!

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Daisuke Okanohara: A survey on differentiable rendering by PFN, TRI-AD, and TRI, covering data representations (mesh, voxel, point cloud, NN implicit rep.), libraries (TF Graphics, Kaolin, Pytorch3D, Mitsuba2), and applications (object/human reconstruction, etc.). https://arxiv.org/abs/2006.12057

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arXiv CS-GR: Differentiable Rendering: A Survey http://arxiv.org/abs/2006.12057

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Adrien Gaidon: You can also check out our recent survey on Differentiable Rendering: https://arxiv.org/abs/2006.12057 Congrats to the team & our collaborators @Karttikeya_m Kuan @eadeli @wadimkehl Andreas @wolfram_burgard @StanfordASL @PreferredNet @TRIAD_Global @ToyotaResearch... More links/info soon!

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akira: https://arxiv.org/abs/2006.12057 A survey of the Differentiable Rendering. It outlines the advantages and disadvantages of typical tasks (Mesh, Voxel, Point Cloud, Implicit) and describes how to evaluate them and where to use them. https://t.co/8rI1c3g7ax

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Found on Jun 23 2020 at https://arxiv.org/pdf/2006.12057.pdf

PDF content of a computer science paper: Differentiable Rendering: A Survey