Deep learning on point clouds and its application: A survey
W Liu, J Sun, W Li, T Hu, P Wang - Sensors, 2019 - mdpi.com
Point cloud is a widely used 3D data form, which can be produced by depth sensors, such
as Light Detection and Ranging (LIDAR) and RGB-D cameras. Being unordered and …
as Light Detection and Ranging (LIDAR) and RGB-D cameras. Being unordered and …
[PDF][PDF] Multi-view convolutional neural networks for 3d shape recognition
A longstanding question in computer vision concerns the representation of 3D shapes for
recognition: should 3D shapes be represented with descriptors operating on their native 3D …
recognition: should 3D shapes be represented with descriptors operating on their native 3D …
Symmetry in 3d geometry: Extraction and applications
The concept of symmetry has received significant attention in computer graphics and
computer vision research in recent years. Numerous methods have been proposed to find …
computer vision research in recent years. Numerous methods have been proposed to find …
The sketchy database: learning to retrieve badly drawn bunnies
We present the Sketchy database, the first large-scale collection of sketch-photo pairs. We
ask crowd workers to sketch particular photographic objects sampled from 125 categories …
ask crowd workers to sketch particular photographic objects sampled from 125 categories …
How do humans sketch objects?
Humans have used sketching to depict our visual world since prehistoric times. Even today,
sketching is possibly the only rendering technique readily available to all humans. This …
sketching is possibly the only rendering technique readily available to all humans. This …
Sketch-based 3d shape retrieval using convolutional neural networks
Retrieving 3D models from 2D human sketches has received considerable attention in the
areas of graphics, image retrieval, and computer vision. Almost always in state of the art …
areas of graphics, image retrieval, and computer vision. Almost always in state of the art …
Voxel-based three-view hybrid parallel network for 3D object classification
Three-dimensional models are widely used in the fields of multimedia, computer graphics,
virtual reality, entertainment, design, and manufacturing because of the rich information that …
virtual reality, entertainment, design, and manufacturing because of the rich information that …
Sketchycoco: Image generation from freehand scene sketches
We introduce the first method for automatic image generation from scene-level freehand
sketches. Our model allows for controllable image generation by specifying the synthesis …
sketches. Our model allows for controllable image generation by specifying the synthesis …
Quad‐mesh generation and processing: A survey
Triangle meshes have been nearly ubiquitous in computer graphics, and a large body of
data structures and geometry processing algorithms based on them has been developed in …
data structures and geometry processing algorithms based on them has been developed in …
3d shape reconstruction from sketches via multi-view convolutional networks
We propose a method for reconstructing 3D shapes from 2D sketches in the form of line
drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a …
drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a …