The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection
KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Occdepth: A depth-aware method for 3d semantic scene completion
3D Semantic Scene Completion (SSC) can provide dense geometric and semantic scene
representations, which can be applied in the field of autonomous driving and robotic …
representations, which can be applied in the field of autonomous driving and robotic …
Compositional human-scene interaction synthesis with semantic control
Synthesizing natural interactions between virtual humans and their 3D environments is
critical for numerous applications, such as computer games and AR/VR experiences. Recent …
critical for numerous applications, such as computer games and AR/VR experiences. Recent …
Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation
This paper studies the complex task of simultaneous multi-object 3D reconstruction, 6D pose
and size estimation from a single-view RGB-D observation. In contrast to instance-level pose …
and size estimation from a single-view RGB-D observation. In contrast to instance-level pose …
3D semantic scene completion: A survey
L Roldao, R De Charette… - International Journal of …, 2022 - Springer
Semantic scene completion (SSC) aims to jointly estimate the complete geometry and
semantics of a scene, assuming partial sparse input. In the last years following the …
semantics of a scene, assuming partial sparse input. In the last years following the …
Roca: Robust cad model retrieval and alignment from a single image
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models
from a shape database to a single input image. This enables 3D perception of an observed …
from a shape database to a single input image. This enables 3D perception of an observed …
Voxel-based 3D detection and reconstruction of multiple objects from a single image
Inferring 3D locations and shapes of multiple objects from a single 2D image is a long-
standing objective of computer vision. Most of the existing works either predict one of these …
standing objective of computer vision. Most of the existing works either predict one of these …
Deep learning-based 3D reconstruction: a survey
T Samavati, M Soryani - Artificial Intelligence Review, 2023 - Springer
Image-based 3D reconstruction is a long-established, ill-posed problem defined within the
scope of computer vision and graphics. The purpose of image-based 3D reconstruction is to …
scope of computer vision and graphics. The purpose of image-based 3D reconstruction is to …
Mix3d: Out-of-context data augmentation for 3d scenes
We present Mix3D, a data augmentation technique for segmenting large-scale 3D scenes.
Since scene context helps reasoning about object semantics, current works focus on models …
Since scene context helps reasoning about object semantics, current works focus on models …
Point scene understanding via disentangled instance mesh reconstruction
Semantic scene reconstruction from point cloud is an essential and challenging task for 3D
scene understanding. This task requires not only to recognize each instance in the scene …
scene understanding. This task requires not only to recognize each instance in the scene …