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04/27/2023
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
By identifying four important components of existing LiDAR-camera 3D obj...
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03/16/2023
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes
With the introduction of Neural Radiance Fields (NeRFs), novel view synt...
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11/21/2022
SPARF: Neural Radiance Fields from Sparse and Noisy Poses
Neural Radiance Field (NeRF) has recently emerged as a powerful represen...
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11/21/2022
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion
Neural Radiance Fields (NeRF) coupled with GANs represent a promising di...
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09/22/2021
Differentiable Surface Triangulation
Triangle meshes remain the most popular data representation for surface ...
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12/02/2020
Learning Delaunay Surface Elements for Mesh Reconstruction
We present a method for reconstructing triangle meshes from point clouds...
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10/25/2020
Correspondence Learning via Linearly-invariant Embedding
In this paper, we propose a fully differentiable pipeline for estimating...
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04/03/2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
We present a learning-based method for interpolating and manipulating 3D...
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06/27/2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
We present a novel rotation invariant architecture operating directly on...
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04/24/2019
OperatorNet: Recovering 3D Shapes From Difference Operators
This paper proposes a learning-based framework for reconstructing 3D sha...
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01/04/2019