Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
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Updated
Aug 14, 2021 - Python
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
Simple inference codes for Neural Network (AI) models
A Real-ESRGAN model trained on a custom dataset
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
A GUI program that upscales anime-style images with AI super-resolution. Uses Real-CUGAN, Real-ESRGAN and Waifu2x. Available on Linux and Windows
Image Pearer automates the creation of image pairs from a LR and a HR source for neural network model training.
convert pytorch ESRGAN to TensorRT
webui for prompt tools and upscale images
ai image upscaling GUI application using Real-ESRGAN
AI Upscaler for Blender using Real-ESRGAN
PyTorch Implementation of the Model and Training Process of Real-ESRGAN
The project is a GUI based on Real-ESRGAN for convenient and fast super-resolution processing of various images/PDF.基于Real-ESRGAN的对图片/PDF超分辨率处理的多平台图形化界面。
AI-powered Image Resize Tool
Implementation of the paper "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data." 🖼️
基于Vapoursynth的图形化视频批量压制处理工具,超分辨率,补帧,vs滤镜一应俱全。
PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.
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