Sep 21, 2016 · Face hallucination aims to generate a high-resolution (HR) face image from an input low-resolution (LR) face image, which is a specific ...
This work develops a novel network architecture which integrates image super-resolution convolutional neural network with network style iterative back ...
Oct 22, 2024 · Face hallucination aims to generate a high-resolution (HR) face image from an input low-resolution (LR) face image, which is a specific ...
Face hallucination aims to generate a high-resolution (HR) face image from an input low-resolution (LR) face image, which is a specific application field of ...
A collection of state-of-the-art face super-resolution/hallucination methods - junjun-jiang/Face-Hallucination-Benchmark.
In one aspect, the face hallucination implements deep convolutional neural network (CNN) to infer a higher resolution image from a low resolution input image.
Missing: Iterative Back Projection.
Face hallucination aims to generate a high-resolution (HR) face image from an input low-resolution (LR) face image, which is a specific application.
The iterative back-projection algorithm is combined with the convolutional neural network to create a new algorithm model. The experimental results show that ...
A new method of face hallucination is presented, which can consistently improve the resolution of face images even with large appearance variations, ...
The iterative back-projection algorithm is combined with the convolutional neural network to create a new algorithm model. The experimental results show that ...