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Accelerating 3D Deep Learning with PyTorch3D

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Justin Johnson: We put up a new tech report on PyTorch3D! It details our modular and efficient differentiable mesh + point cloud renderers and other ops. We use them to train networks that predict textured mesh and point clouds from single image, without 3D supervision! https://arxiv.org/abs/2007.08501 https://t.co/72jtAYeoiA

2 replies, 376 likes


AK: Accelerating 3D Deep Learning with PyTorch3D pdf: https://arxiv.org/pdf/2007.08501.pdf abs: https://arxiv.org/abs/2007.08501 https://t.co/avec7uiFKY

0 replies, 93 likes


Kosta Derpanis: Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari, Accelerating 3D Deep Learning with PyTorch3D http://arxiv.org/abs/2007.08501 https://t.co/l4L1K6Fdm2

1 replies, 72 likes


Underfox: Facebook researchers have presented PyTorch3D, a library of modular, efficient and differentiable operators for 3D #DeepLearning, demonstrating improvements in speed and memory usage by up to 10x when compared to native #PyTorch implementation. https://arxiv.org/pdf/2007.08501.pdf https://t.co/DUdiGasg1n

1 replies, 10 likes


MichiganAI: Check out this new tech report on PyTorch3D from @jcjohnss with @nikhilaravi, Jeremy Reizenstein, @davnov134, Taylor Gordon, @wanyen_lo, and @georgiagkioxari: https://arxiv.org/abs/2007.08501

0 replies, 1 likes


arXiv CS-CV: Accelerating 3D Deep Learning with PyTorch3D http://arxiv.org/abs/2007.08501

0 replies, 1 likes


arXiv CS-GR: Accelerating 3D Deep Learning with PyTorch3D http://arxiv.org/abs/2007.08501

0 replies, 1 likes


cs.LG Papers: Accelerating 3D Deep Learning with PyTorch3D. Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari http://arxiv.org/abs/2007.08501

1 replies, 0 likes


cs.CV Papers: Accelerating 3D Deep Learning with PyTorch3D. Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari http://arxiv.org/abs/2007.08501

1 replies, 0 likes


Brundage Bot: Accelerating 3D Deep Learning with PyTorch3D. Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari http://arxiv.org/abs/2007.08501

1 replies, 0 likes


Srinivas: With Tensorflow Graphics and PyTorch3D for differentiable mesh rendering and Mitsuba2 for physics-based differentiable rendering, many things seem to be becoming easier to implement. Besides python bindings, Mitsuba2 too seems to have a PyTorch interface: https://mitsuba2.readthedocs.io/en/latest/src/inverse_rendering/pytorch.html

1 replies, 0 likes


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Found on Jul 17 2020 at https://arxiv.org/pdf/2007.08501.pdf

PDF content of a computer science paper: Accelerating 3D Deep Learning with PyTorch3D