Performing holistic 3D scene understanding from a single-view observation, involving
generating instance shapes and 3D scene segmentation, is a long-standing challenge …

This report surveys advances in deep learning‐based modelling techniques that address
four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We …

Holistic 3D scene understanding entails estimation of both layout configuration and object
geometry in a 3D environment. Recent works have shown advances in 3D scene estimation …

In the field of 3D scene understanding, 3D scene graphs have emerged as a new scene
representation that combines geometric and semantic information about objects and their …

Effectively navigating a dynamic 3D world requires a comprehensive understanding of the
3D geometry and motion of surrounding objects and layouts. However, existing methods for …

The current work introduces a system for fully automatic tracking of native glenohumeral
kinematics in stereo-radiography sequences. The proposed method first applies …

This paper introduces 3DFIRES a novel system for scene-level 3D reconstruction from
posed images. Designed to work with as few as one view 3DFIRES reconstructs the …

Humans perceive and construct the world as an arrangement of simple parametric models.
In particular, we can often describe man-made environments using volumetric primitives …

Unsupervised point cloud shape correspondence aims to establish point-wise
correspondences between source and target point clouds. Existing methods obtain …

Learning the prior knowledge of the 3D human-object spatial relation is crucial for
reconstructing human-object interaction from images and understanding how humans …