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 …

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 …

Synthesizing natural interactions between virtual humans and their 3D environments is
critical for numerous applications, such as computer games and AR/VR experiences. Recent …

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 …

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 …

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 …

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 …

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 …

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 …

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 …