pytorch-SRResNet
by twtygqyy
pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802
AI summary
Super-resolver
An implementation of a deep learning model for single image super-resolution using a generative adversarial network
- stars
- 487
- forks
- 130
- watching
- 20
Similar projects
Found by comparing what the projects do, not just their names.
Super resolver
A PyTorch implementation of a deep learning model for super resolution
Image upscaler
A PyTorch implementation of an image super-resolution model based on dense skip connections.
Image super-resolution model
Unofficial PyTorch implementation of Zero-Shot Super Resolution using Deep Internal Learning from an image alone.
Deep learning models
Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets.
cszn/bsrgan1.2K
Image super-resolver
A deep learning-based approach to super-resolution of degraded images.
Super-resolution framework
A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools
ResNet simulator
Reproduces ResNet-V3 with PyTorch for computer vision tasks
Deep Learning Model
A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.
EfficientNet model
A PyTorch implementation of EfficientNet for computer vision tasks
Image UpScaler
Tensorflow implementation of a generative adversarial network for single image super-resolution
Deep learning model
An implementation of a deep learning model using PyTorch and depthwise separable convolutions for image classification
Image classifier
PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets
Image sharpener
A deep learning-based method to improve image quality by reducing blur effects
Image classifier
Implementing a deep learning framework for image classification using Residual Attention Network architecture
Neural network architecture
An implementation of a 1-bit weight neural network architecture using PyTorch
