Accelerating 3D Deep Learning with PyTorch3D

1. Accelerating 3D Deep Learning with PyTorch3D, arXiv 2007.08501 2. Mesh R-CNN, ICCV 2019 3. SynSin: End-to-end View Synthesis from a Single Image, CVPR 2020 4. Fast Differentiable Raycasting for Neural Rendering using Sphere-based Representations, arXiv 2004.07484

cs.CV cs.GR cs.LG Computer Science

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References (66)

01Fast Differentiable Raycasting for Neural Rendering using Sphere-based RepresentationsChristoph Lassner2020 · arXiv.org · 8 citations

02PolyGen: An Autoregressive Generative Model of 3D MeshesCharlie Nash, Yaroslav Ganin, A. Eslami et al.2020 · International Conference on Machine Learning · 374 citations In Library

03SynSin: End-to-End View Synthesis From a Single ImageOlivia Wiles, Georgia Gkioxari, R. Szeliski et al.2019 · Computer Vision and Pattern Recognition · 545 citations In Library

04PyTorch: An Imperative Style, High-Performance Deep Learning LibraryAdam Paszke, Sam Gross, Francisco Massa et al.2019 · Neural Information Processing Systems · 54k citations In Library

05Kaolin: A PyTorch Library for Accelerating 3D Deep Learning ResearchKrishna Murthy Jatavallabhula, Edward James Smith, Jean-Francois Lafleche et al.2019 · arXiv.org · 154 citations In Library

06C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From MotionDavid Novotný, Nikhila Ravi, Benjamin Graham et al.2019 · IEEE International Conference on Computer Vision · 129 citations In Library

07Learning to Predict 3D Objects with an Interpolation-based Differentiable RendererWenzheng Chen, Jun Gao, Huan Ling et al.2019 · Neural Information Processing Systems · 401 citations In Library

08PointFlow: 3D Point Cloud Generation With Continuous Normalizing FlowsGuandao Yang, Xun Huang, Zekun Hao et al.2019 · IEEE International Conference on Computer Vision · 836 citations In Library

09Differentiable surface splatting for point-based geometry processingYifan Wang, Felice Serena, Shihao Wu et al.2019 · ACM Transactions on Graphics · 392 citations In Library

10Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene RepresentationsV. Sitzmann, Michael Zollhoefer, Gordon Wetzstein2019 · Neural Information Processing Systems · 1.4k citations In Library

11PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human DigitizationShunsuke Saito, Zeng Huang, Ryota Natsume et al.2019 · IEEE International Conference on Computer Vision · 1.4k citations In Library

12Fast Graph Representation Learning with PyTorch GeometricMatthias Fey, J. E. Lenssen2019 · arXiv.org · 5.5k citations In Library

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