A Fast and Accurate Super-Resolution Convolutional Neural Network (FSRCNN) build for artwork, anime, and illustration.
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Updated
May 5, 2021 - Python
A Fast and Accurate Super-Resolution Convolutional Neural Network (FSRCNN) build for artwork, anime, and illustration.
ComfyUI Workflows: Stable Diffusion, Flux, SDXL, ControlNet, image generation, AI art, and custom node-based diffusion pipelines.
The goal was to build a SRGAN able to upscale the resolution of pictures
Easlisy generate images using a datasets/list of prompts, using the automation script for Stable Diffusion web ui.
fork of DRCT geared towards inference with the pretrained weights
Инструмент улучшения качества аниме-видео с сохранением звука, работает на Windows, Linux и macOS, использует Real-ESRGAN и пакетную обработку.
Our teams submission to the HackTheBurghXI hackathon hosted in Edinburgh 2025 – Created over the course of 24h
🎥 Visual media restoration using deep-learning-based colorization, upscaling, interpolation, and more.
2-4x faster ComfyUI Image Upscaling using TensorRT⚡
Benchmarking Pixel based AI Upscaling Models for Video Upscaling
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
This fork of Real-ESRGAN is aimed at integration with avatar pipelines from Big Blue Ceiling
Implementation of the RealESRGANPlus model, Also fixed few error relatied to the inference of the model, and face enhancement model.
This is complete Python package module implementing: 1 - Background removal, 2 - Add background color/template. 3 - Enhance image quality, 4 - Resize and compress image, 5 - Resize by custom height*width
Super resolution using a CNN, based on the work of the DGtal team
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