Computational Imaging

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Computational Imaging PixelRNN | CVPR 2024
Overview and Results The perception pipeline of PixelRNN can be broken down into an on-sensor encoder and a task-specific, off-sensor decoder. On the left is the camera equipped with a sensor-processo...
Computational Imaging EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks | CVPR 2022
Tri-plane Representation Training a GAN with neural rendering is expensive, so we use a hybrid explicit-implicit 3D representation in order to make neural rendering as efficient as possible. Our repre...
Computational Imaging Holographic AR Glasses with Metasurface Waveguides | Nature 2024
Manu Gopakumar*, Gun-Yeal Lee*, Suyeon Choi, Brian Chao, Yifan Peng, Jonghyun Kim, Gordon Wetzstein A near-eye display design that pairs inverse-designed metasurface waveguides with AI-driven holograp...
Computational Imaging Research Overview
Research Overview Our research focuses on three core areas: neural rendering, computational imaging, and computational displays. We are particularly interested in developing next-generation imaging sy...
Computational Imaging pi-GAN | CVPR 2021
Selected examples synthesized by π-GAN with CelebA and Cats datasets. π-GAN leverages recent advances in generative visual models and neural rendering to produce high-quality, multi-view-consistent im...