High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …
vision with many applications, such as robotics and augmented reality. The advent of …
Review of visual simultaneous localization and map** based on deep learning
Due to the limitations of LiDAR, such as its high cost, short service life and massive volume,
visual sensors with their lightweight and low cost are attracting more and more attention and …
visual sensors with their lightweight and low cost are attracting more and more attention and …
NeRF--: Neural radiance fields without known camera parameters
Considering the problem of novel view synthesis (NVS) from only a set of 2D images, we
simplify the training process of Neural Radiance Field (NeRF) on forward-facing scenes by …
simplify the training process of Neural Radiance Field (NeRF) on forward-facing scenes by …
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Semantic scene understanding is important for various applications. In particular, self-driving
cars need a fine-grained understanding of the surfaces and objects in their vicinity. Light …
cars need a fine-grained understanding of the surfaces and objects in their vicinity. Light …
Infinite photorealistic worlds using procedural generation
We introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural
world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from …
world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from …
Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-
pixel ground truth labels from real images. We address this challenge by introducing …
pixel ground truth labels from real images. We address this challenge by introducing …
The Replica dataset: A digital replica of indoor spaces
We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions
at room and building scale. Each scene consists of a dense mesh, high-resolution high …
at room and building scale. Each scene consists of a dense mesh, high-resolution high …
3d-front: 3d furnished rooms with layouts and semantics
Abstract We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a
new, large-scale, and compre-hensive repository of synthetic indoor scenes highlighted by …
new, large-scale, and compre-hensive repository of synthetic indoor scenes highlighted by …
M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera …
3d-future: 3d furniture shape with texture
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model
repositories. Thus, they typically have insufficient geometric details and less informative …
repositories. Thus, they typically have insufficient geometric details and less informative …