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Recent advances in Neural Radiance Fields (NeRF) boast impressive performances for generative tasks such as novel view synthesis and 3D reconstruction.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Multiple view geometry in computer vision
Richard Hartley and Andrew Zisserman · 2003
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ShapeNet: An Information-Rich 3D Model Repository
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Generative and discriminative voxel modeling with convolutional neural networks
Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston · 2016
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Rethinking atrous convolution for semantic image segmentation
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Matheus Gadelha, Subhransu Maji, and Rui Wang · 2017
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Learned multi-patch similarity
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Accelerating 3d deep learning with pytorch3d
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Universal differentiable renderer for implicit neural representations
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Codenerf: Disentangled neural radiance fields for object categories
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