A multistage text to image framework. Built from a inference-reduced set of min-dalle, glid-3-xl, and SwinIR.
-
Updated
Aug 24, 2022 - Jupyter Notebook
A multistage text to image framework. Built from a inference-reduced set of min-dalle, glid-3-xl, and SwinIR.
A High Quality (HD / 2K / 4K) Image Generation Using Stable Diffusion and Real-ESR / SwinIR /GFPGAN
Analysis resources for the Inter IIT Tech Meet 11.0 problem statement by ISRO: The Chandrayaan Moon Mapping Challenge
A repository of models trained by me!
🌊 A Human-in-the-Loop workflow for creating HD images from text
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app
WindSR Dataset contains more than 22,000 pairs of HR/LR wind speed images, which are processed using the NASA's GEOS-5 Nature Run dataset. This dataset is useful for studying super-resolution for data collected using satellites rather natural RGB images.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
ImageEditor is a PyQt5-based GUI application for advanced AI-powered image processing. It supports operations such as denoising, super-resolution, background removal, canvas resizing, and format conversion. It integrates powerful models such as SCUNet, SwinIR, and U²-Net.
All image enhancement and restoration tools
Deep Learning-based Image Restoration — Implements SwinIR for super-resolution and LaMa for large-mask inpainting, with custom dataset preparation, mask generation, and evaluation metrics (PSNR, SSIM, FID, IS).
PyTorch implementation of our paper Road Sign Classification with Denoising Pipeline Approach
Add a description, image, and links to the swinir topic page so that developers can more easily learn about it.
To associate your repository with the swinir topic, visit your repo's landing page and select "manage topics."