Choose your simulator wisely: A review on open-source simulators for autonomous driving
Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …
savings. Over the past few years, the number of simulators for autonomous driving has …
Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies
We present XCube a novel generative model for high-resolution sparse 3D voxel grids with
arbitrary attributes. Our model can generate millions of voxels with a finest effective …
arbitrary attributes. Our model can generate millions of voxels with a finest effective …
4k4dgen: Panoramic 4d generation at 4k resolution
Unsupervised occupancy learning from sparse point cloud
A Ouasfi, A Boukhayma - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Abstract Implicit Neural Representations have gained prominence as a powerful framework
for capturing complex data modalities encompassing a wide range from 3D shapes to …
for capturing complex data modalities encompassing a wide range from 3D shapes to …
Pin-slam: Lidar slam using a point-based implicit neural representation for achieving global map consistency
Y Pan, X Zhong, L Wiesmann, T Posewsky… - ar** are essential components for most
autonomous robots. In this paper, we propose a SLAM system for building globally …
autonomous robots. In this paper, we propose a SLAM system for building globally …
Few-shot unsupervised implicit neural shape representation learning with spatial adversaries
A Ouasfi, A Boukhayma - arxiv preprint arxiv:2408.15114, 2024 - arxiv.org
Implicit Neural Representations have gained prominence as a powerful framework for
capturing complex data modalities, encompassing a wide range from 3D shapes to images …
capturing complex data modalities, encompassing a wide range from 3D shapes to images …
Implicit filtering for learning neural signed distance functions from 3d point clouds
Neural signed distance functions (SDFs) have shown powerful ability in fitting the shape
geometry. However, inferring continuous signed distance fields from discrete unoriented …
geometry. However, inferring continuous signed distance fields from discrete unoriented …