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This work presents a generative adversarial architecture for generating three-dimensional shapes based on signed distance representations.
SDM-NET: Deep generative network for structured deformable mesh
Gao L., Yang J., Wu T., Yuan Y.-J., Fu H., Lai Y.-K., Zhang H · 1908
Earlier work this paper cites.
Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Liu S., Zhang Y., Peng S., Shi B., Pollefeys M., Cui Z · 1911
Earlier work this paper cites.
Marching cubes: A high resolution 3D surface construction algorithm
Lorensen W. E., Cline H. E · 1987
Earlier work this paper cites.
Sphere tracing: A geometric method for the antialiased ray tracing of implicit surfaces
Hart J. C · 1996
Earlier work this paper cites.
Screened poisson surface reconstruction
Kazhdan M., Hoppe H · 2013
Earlier work this paper cites.
Generative adversarial nets
Goodfellow I., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., Courville A., Bengio Y · 2014
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford A., Metz L., Chintala S · 2015
Earlier work this paper cites.
Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
Wu J., Zhang C., Xue T., Freeman B., Tenenbaum J · 2016
Earlier work this paper cites.
Learning representations and generative models for 3D point clouds
Achlioptas P., Diamanti O., Mitliagkas I., Guibas L · 2017
Earlier work this paper cites.
Shape completion using 3D-encoder-predictor CNNs and shape synthesis
Dai A., Qi C. R., Nießner M · 2017
Earlier work this paper cites.
Improved training of Wasserstein GANs
Gulrajani I., Ahmed F., Arjovsky M., Dumoulin V., Courville A. C · 2017
Cited alongside, same era.
PointNet: Deep learning on point sets for 3D classification and segmentation
Qi C. R., Su H., Mo K., Guibas L. J · 2017
Cited alongside, same era.
PointNet++: Deep hierarchical feature learning on point sets in a metric space
Qi C. R., Yi L., Su H., Guibas L. J · 2017
Cited alongside, same era.
SurfNet: Generating 3D shape surfaces using deep residual networks
Sinha A., Unmesh A., Huang Q., Ramani K · 2017
Cited alongside, same era.
Octree generating networks: Efficient convolutional architectures for high-resolution 3D outputs
Tatarchenko M., Dosovitskiy A., Brox T · 2017
Cited alongside, same era.
A survey on deep learning advances on different 3D data representations
Deep marching cubes: Learning explicit surface representations
Liao Y., Donne S., Geiger A · 2018
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Pixel2Mesh: Generating 3D mesh models from single RGB images
Wang N., Zhang Y., Li Z., Fu Y., Liu W., Jiang Y.-G · 2018
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P2P-NET: Bidirectional point displacement net for shape transform
Yin K., Huang H., Cohen-Or D., Zhang H · 2018
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Learning implicit fields for generative shape modeling
Chen Z., Zhang H · 2019
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MeshCNN: A network with an edge
Hanocka R., Hertz A., Fish N., Giryes R., Fleishman S., Cohen-Or D · 2019
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Deep meta functionals for shape representation
Littwin G., Wolf L · 2019
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Ahmed E., Saint A., Shabayek A., Cherenkova K., Das R., Gusev G., Aouada D · 2018
Cited alongside, same era.
SplineCNN: Fast geometric deep learning with continuous B-Spline kernels
Fey M., Lenssen J. E., Weichert F., Müller H · 2018
Cited alongside, same era.
AtlasNet: A papier-mâché approach to learning 3D surface generation
Groueix T., Fisher M., Kim V. G., Russell B. C., Aubry M · 2018
Cited alongside, same era.
Progressive growing of GANs for improved quality, stability, and variation
Karras T., Aila T., Laine S., Lehtinen J · 2018
Cited alongside, same era.
ShapeNet: An information-rich 3D model repository
Chang A. X., Funkhouser T., Guibas L., Hanrahan P., Huang Q., Li Z., Savarese S., Savva M., Song S., Su H., Xiao J., Yi L., Yu F
Cited in the paper.
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Occupancy networks: Learning 3D reconstruction in function space
Mescheder L., Oechsle M., Niemeyer M., Nowozin S., Geiger A · 2019
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DeepSDF: Learning continuous signed distance functions for shape representation
Park J. J., Florence P., Straub J., Newcombe R., Lovegrove S · 2019
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Learning localized generative models for 3d point clouds via graph convolution
Valsesia D., Fracastoro G., Magli E · 2019
Later among the works it cites.