superresolution topic
Residual-Dense-Network-Trained-with-cGAN-for-Super-Resolution
This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
SRGAN-with-WGAN-Loss-TensorFlow
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
waifu4x
2019 PPCA course project - Anime Super-Resolution
RCAN-tf
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
pytorch-gans
PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Mobile_Image-Video_Enhancement
Sensifai image and video enhancement module on mobiles
SuperResolution-with-Perceptual-loss
In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
IDN-TensorFlow
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Turtle
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.