FranzHahn

CVAE-GAN

Guided-VAE

(CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning

keras-generative

Deep generative networks, coded with Keras.

MDPI-10-6-2186-Correction

Multi-Pooled-Inception-Features-for-No-Reference-Image-Quality-Assessment

Multi-pooled Inception Features for No-reference image quality assessment

No-Reference-Video-Quality-Assessment-Based-on-the-Temporal-Pooling-of-Deep-Features

NPL-50-3-2595-2608-Correction

pytorch-image-quality-param-ctrl

use pytorch DeepBIQ and Proximal Policy Optimization（PPO） to search usb camera image quality param

saliency

Code for http://saliency.mit.edu/

SIVP-13-8-1569-1576-Correction

FranzHahn/CVAE-GAN

FranzHahn/keras-generative

Deep generative networks, coded with Keras.

FranzHahn/MDPI-10-6-2186-Correction

FranzHahn/Multi-Pooled-Inception-Features-for-No-Reference-Image-Quality-Assessment

Multi-pooled Inception Features for No-reference image quality assessment

FranzHahn/No-Reference-Video-Quality-Assessment-Based-on-the-Temporal-Pooling-of-Deep-Features

FranzHahn/NPL-50-3-2595-2608-Correction

FranzHahn/pytorch-image-quality-param-ctrl

use pytorch DeepBIQ and Proximal Policy Optimization（PPO） to search usb camera image quality param

FranzHahn/saliency

Code for http://saliency.mit.edu/

FranzHahn/SIVP-13-8-1569-1576-Correction