ServiceNow Research

3D

Neural Point Light Fields
We introduce Neural Point Light Fields that represent scenes implicitly with a light field living on a sparse point cloud. Combining …
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
Different types of mental rotation tests have been used extensively in psychology to understand human visual reasoning and perception. …
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Recent work has made significant progress in learning object meshes with weak supervision. Soft Rasterization methods have achieved …
3D Perception with Slanted Stixels on GPU
This article presents a GPU-accelerated software design of the recently proposed model of Slanted Stixels, which represents the …
Domain-Adaptive Single-view 3D Reconstruction
Single-view 3D shape reconstruction is an important but challenging problem, mainly for two reasons. First, as shape annotation is very …
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
We infer and generate three-dimensional (3D) scene information from a single input image and without supervision. This problem is …
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while also …
Slanted Stixels: A way to represent steep streets
This work presents and evaluates a novel compact scene representation based on Stixels that infers geometric and semantic information. …