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09/19/2023
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
Training perception systems for self-driving cars requires substantial a...
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09/09/2023
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
Unsupervised learning of 3D-aware generative adversarial networks has la...
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07/27/2023
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it i...
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04/10/2023
NF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping
LiDAR Mapping has been a long-standing problem in robotics. Recent progr...
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03/24/2023
UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
Generating photorealistic images with controllable camera pose and scene...
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03/15/2023
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
Recently, neural implicit surfaces have become popular for multi-view re...
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02/14/2023
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
We introduce a novel approach that takes a single semantic mask as input...
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12/15/2022
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
Neural Radiance Fields (NeRF) have demonstrated superior novel view synt...
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10/27/2022
Deep Generative Models on 3D Representations: A Survey
Generative models, as an important family of statistical modeling, targe...
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10/12/2022
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
Global localization plays a critical role in many robot applications. Li...
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06/15/2022
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
State-of-the-art 3D-aware generative models rely on coordinate-based MLP...
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06/12/2022
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
Pose registration is critical in vision and robotics. This paper focuses...
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03/29/2022
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Large-scale training data with high-quality annotations is critical for ...
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03/25/2022
A Visual Navigation Perspective for Category-Level Object Pose Estimation
This paper studies category-level object pose estimation based on a sing...
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11/03/2021
On the Frequency Bias of Generative Models
The key objective of Generative Adversarial Networks (GANs) is to genera...
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09/28/2021
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
For the last few decades, several major subfields of artificial intellig...
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09/25/2021
Fully Differentiable and Interpretable Model for VIO with 4 Trainable Parameters
Monocular visual-inertial odometry (VIO) is a critical problem in roboti...
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06/07/2021
Shape As Points: A Differentiable Poisson Solver
In recent years, neural implicit representations gained popularity in 3D...
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04/08/2021
SMD-Nets: Stereo Mixture Density Networks
Despite stereo matching accuracy has greatly improved by deep learning i...
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03/25/2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
NeRF synthesizes novel views of a scene with unprecedented quality by fi...
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07/05/2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
While 2D generative adversarial networks have enabled high-resolution im...
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12/11/2019
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
In recent years, Generative Adversarial Networks have achieved impressiv...
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12/22/2017
On the Integration of Optical Flow and Action Recognition
Most of the top performing action recognition methods use optical flow a...
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10/17/2016
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
Many standard robotic platforms are equipped with at least a fixed 2D la...
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06/12/2015