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06/15/2023
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object r...
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06/08/2023
Scaling Spherical CNNs
Spherical CNNs generalize CNNs to functions on the sphere, by using sphe...
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06/08/2023
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
A critical obstacle preventing NeRF models from being deployed broadly i...
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03/28/2023
ASIC: Aligning Sparse in-the-wild Image Collections
We present a method for joint alignment of sparse in-the-wild image coll...
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08/18/2022
Stable Object Reorientation using Contact Plane Registration
We present a system for accurately predicting stable orientations for di...
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07/21/2022
Generalizable Patch-Based Neural Rendering
Neural rendering has received tremendous attention since the advent of N...
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12/17/2021
Light Field Neural Rendering
Classical light field rendering for novel view synthesis can accurately ...
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06/10/2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Single image pose estimation is a fundamental problem in many vision and...
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06/07/2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Modern deep learning techniques that regress the relative camera pose be...
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04/22/2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
We introduce KeypointDeformer, a novel unsupervised method for shape con...
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04/08/2021
De-rendering the World's Revolutionary Artefacts
Recent works have shown exciting results in unsupervised image de-render...
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03/04/2021
There and back again: Cycle consistency across sets for isolating factors of variation
Representational learning hinges on the task of unraveling the set of un...
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12/17/2020
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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06/25/2020
An Analysis of SVD for Deep Rotation Estimation
Symmetric orthogonalization via SVD, and closely related procedures, are...
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06/18/2020
Spin-Weighted Spherical CNNs
Learning equivariant representations is a promising way to reduce sample...
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05/05/2020
Time Dependence in Non-Autonomous Neural ODEs
Neural Ordinary Differential Equations (ODEs) are elegant reinterpretati...
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03/19/2020
Local Implicit Grid Representations for 3D Scenes
Shape priors learned from data are commonly used to reconstruct 3D objec...
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06/07/2019
Latent feature disentanglement for 3D meshes
Generative modeling of 3D shapes has become an important problem due to ...
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12/06/2018
Cross-Domain 3D Equivariant Image Embeddings
Spherical convolutional networks have been introduced recently as tools ...
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09/06/2018
Labeling Panoramas with Spherical Hourglass Networks
With the recent proliferation of consumer-grade 360 cameras, it is worth...
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12/01/2017
Deformable Shape Completion with Graph Convolutional Autoencoders
The availability of affordable and portable depth sensors has made scann...
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11/17/2017
3D object classification and retrieval with Spherical CNNs
3D object classification and retrieval presents many challenges that are...
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11/22/2016