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07/03/2023
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections
The majority of existing large 3D shape datasets contain meshes that len...
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06/18/2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Point-cloud data collected in real-world applications are often incomple...
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05/02/2023
Neural LiDAR Fields for Novel View Synthesis
We present Neural Fields for LiDAR (NFL), a method to optimise a neural ...
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05/02/2023
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
In this work, we present Conditional Adversarial Latent Models (CALM), a...
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02/08/2023
Neural Congealing: Aligning Images to a Joint Semantic Atlas
We present Neural Congealing – a zero-shot self-supervised framework for...
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02/02/2023
SceneScape: Text-Driven Consistent Scene Generation
We propose a method for text-driven perpetual view generation – synthesi...
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04/05/2022
Text2LIVE: Text-Driven Layered Image and Video Editing
We present a method for zero-shot, text-driven appearance manipulation i...
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09/23/2021
Layered Neural Atlases for Consistent Video Editing
We present a method that decomposes, or "unwraps", an input video into a...
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06/22/2021
Volume Rendering of Neural Implicit Surfaces
Neural volume rendering became increasingly popular recently due to its ...
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04/14/2021
Deep Permutation Equivariant Structure from Motion
Existing deep methods produce highly accurate 3D reconstructions in ster...
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07/03/2020
On the Similarity between the Laplace and Neural Tangent Kernels
Recent theoretical work has shown that massively overparameterized neura...
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04/02/2020
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images
We present an end-to-end Convolutional Neural Network (CNN) approach for...
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03/10/2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Recent works have partly attributed the generalization ability of over-p...
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11/30/2019
Averaging Essential and Fundamental Matrices in Collinear Camera Settings
Global methods to Structure from Motion have gained popularity in recent...
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06/02/2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
We study the relationship between the speed at which a neural network le...
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04/04/2019
Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings
Essential matrix averaging, i.e., the task of recovering camera location...
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01/27/2019
Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches
Incremental (online) structure from motion pipelines seek to recover the...
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12/02/2018
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices
This paper addresses the problem of recovering projective camera matrice...
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10/22/2018
Two view constraints on the epipoles from few correspondences
In general it requires at least 7 point correspondences to compute the f...
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07/26/2016
Fundamental Matrices from Moving Objects Using Line Motion Barcodes
Computing the epipolar geometry between cameras with very different view...
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06/25/2015