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Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
We introduce the problem of perpetual view generation – long-range gener...
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An Analysis of SVD for Deep Rotation Estimation
Symmetric orthogonalization via SVD, and closely related procedures, are...
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Spin-Weighted Spherical CNNs
Learning equivariant representations is a promising way to reduce sample...
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Time Dependence in Non-Autonomous Neural ODEs
Neural Ordinary Differential Equations (ODEs) are elegant reinterpretati...
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Local Implicit Grid Representations for 3D Scenes
Shape priors learned from data are commonly used to reconstruct 3D objec...
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Latent feature disentanglement for 3D meshes
Generative modeling of 3D shapes has become an important problem due to ...
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Cross-Domain 3D Equivariant Image Embeddings
Spherical convolutional networks have been introduced recently as tools ...
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Labeling Panoramas with Spherical Hourglass Networks
With the recent proliferation of consumer-grade 360 cameras, it is worth...
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Deformable Shape Completion with Graph Convolutional Autoencoders
The availability of affordable and portable depth sensors has made scann...
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3D object classification and retrieval with Spherical CNNs
3D object classification and retrieval presents many challenges that are...
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Geometry of 3D Environments and Sum of Squares Polynomials
Motivated by applications in robotics and computer vision, we study prob...
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