Research

We present the design of a productionized end-to-end stereo depth sensing system that does pre-processing, online stereo rectification, and stereo depth estimation with...

We propose using a global point cloud that is dynamically updated each frame, along with a learned fusion approach in image space.

In this paper we simulated the propagation and interaction of visible light with butterfly nanoantenna arrays using the finite-difference time-domain (FDTD) method.

In this study, we specifically focus on reproducing the overall color tone of the real environment under different ambient illumination colors by shifting the white point of the display.

In this paper, we aim to solve the space-time aliasing problem by learning a spatio-temporal downsampler.

To address this, we propose a progressive positional encoding, exposing a hierarchical MLP structure to incremental sets of frequency encodings.

This paper presents a stylized novel view synthesis method. Applying state-of-the-art stylization methods to novel views frame by frame often causes jittering artifacts due to the ...

In this paper, we propose the first learned passthrough method and assess its performance using a custom VR headset that contains a stereo pair of RGB cam- eras.

In this paper, we formulate seamless illumination harmonization as an illumination exchange and aggregation problem. Specifically, we firstly apply a physically-based rendering...

We replace these priors with measurements from a time-of-flight (ToF) camera, and introduce a neural representation based on an image formation model for continuous-wave ToF...