Pinned Repositories
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's Repositories
FranzHahn/CVAE-GAN
FranzHahn/Guided-VAE
(CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning
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