3D
Data is the driving force of machine learning, with the amount and quality of training data often being more important for the …
We introduce Neural Point Light Fields that represent scenes implicitly with a light field living on a sparse point cloud. Combining …
Different types of mental rotation tests have been used extensively in psychology to understand human visual reasoning and perception. …
Recent work has made significant progress in learning object meshes with weak supervision. Soft Rasterization methods have achieved …
This article presents a GPU-accelerated software design of the recently proposed model of Slanted Stixels, which represents the …
Single-view 3D shape reconstruction is an important but challenging problem, mainly for two reasons. First, as shape annotation is very …
We infer and generate three-dimensional (3D) scene information from a single input image and without supervision. This problem is …
We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while also …
This work presents and evaluates a novel compact scene representation based on Stixels that infers geometric and semantic information. …