Mobile computational photography: A tour
The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
Learning to see in the dark
Imaging in low light is challenging due to low photon count and low SNR. Short-exposure
images suffer from noise, while long exposure can lead to blurry images and is often …
images suffer from noise, while long exposure can lead to blurry images and is often …
Cycleisp: Real image restoration via improved data synthesis
The availability of large-scale datasets has helped unleash the true potential of deep
convolutional neural networks (CNNs). However, for the single-image denoising problem …
convolutional neural networks (CNNs). However, for the single-image denoising problem …
Quantization and training of neural networks for efficient integer-arithmetic-only inference
The rising popularity of intelligent mobile devices and the daunting computational cost of
deep learning-based visual recognition models call for efficient on-device inference …
deep learning-based visual recognition models call for efficient on-device inference …
High-resolution image synthesis and semantic manipulation with conditional gans
We present a new method for synthesizing high-resolution photo-realistic images from
semantic label maps using conditional generative adversarial networks (conditional GANs) …
semantic label maps using conditional generative adversarial networks (conditional GANs) …