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aacnn

Tensorflow Inplementation for AACNN : Attribute Augmented Convolutional Neural Network for Face Hallucination (NTIRE2018)

ai-art-clip-vqgan

Jupyter notebooks for image generation using CLIP and VQGAN

deep-iterative-collaboration

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

diffusion-tta

Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.

eip-pytorch

Unofficial Pytorch implementation of paper : Edge and Identity Preserving Network for Face Super-Resolution

eipnet

Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)

geometry-free-view-synthesis

Is a geometric model required to synthesize novel views from a single image?

image-datasets

The links and descriptions about famous image datasets for deep learning

knowledge-distillation

latent-diffusion-model

High-Resolution Image Synthesis with Latent Diffusion Models

new

ransr

Residual Attention Network for Super Resolution

super-identity-fh

a simple try to reproduce the paper: Super-Identity Convolutional Neural Network for Face Hallucination

vunet

A generative model conditioned on shape and appearance.

waveletsrnet

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

wipa-face-super-resolution

Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.