nafnet

使用NAFNet进行图像去模糊

colab list for image (upscale, enhance, generation)

Fast and practical image deraining with PyTorch.

Restore image using NAFNet model with streamlit dashboard

colab list for video

A framework to develop Deep learning based Image restoration models using Tensorflow

License Plate Recognition using YOLOv8 + EasyOCR + NAFNet

Deep learning-based image restoration pipeline with DnCNN, NAFNet, and legacy joint models. Includes PSNR/SSIM/LPIPS evaluation and visual comparisons.

A Comparative Study of CNN-Based Image Restoration Methods

AI system for denoising, deblurring, inpainting & artifact removal — Gradio UI + CLI + PSNR/SSIM/LPIPS metrics

Clinical Chest X-Ray Denoising & Radiograph Restoration Engine using NAFNet (ECCV 2022), FastAPI, and React.

AI-based restoration of noisy, low-resolution semiconductor SEM images

End-to-end deep-learning framework that super-resolves and colorizes monochrome infrared (IR) satellite imagery into realistic, semantically-faithful RGB - no hallucinations - to boost object interpretation. Bharatiya Antariksh Hackathon 2026 · Problem Statement 10.

PyTorch reproduction of NAFNet (ECCV 2022 'Simple Baselines for Image Restoration') on GoPro deblurring and SIDD denoising

NAFNet-SR (2.39M parameters) deep learning solution for semiconductor wafer image restoration and 2x super-resolution. Achieves 28.98 dB PSNR / 0.776 SSIM (+5.97 dB gain) with real-time GPU inference. KLA Hackathon 2026.

PyTorch reproduction of NAFNet (ECCV 2022 'Simple Baselines for Image Restoration') on GoPro deblurring and SIDD denoising

WaveFusion-Net: dual-branch spatial-wavelet fusion for blind image deblurring (IEEE NIGERCON 2026). Notebooks, ablations, SHA256 split proofs, results.

AI models (ONNX) for FlipsiColor – NAFNet, Restormer, RealESRGAN, RealHATGAN, CodeFormer, AiLUT, EfficientNet — KI-Modelle für FlipsiColor

developed an adaptive X-ray denoising framework that intelligently routes each pixel through either a fast direct-mapping path (Enhanced NAFNet) or a high-fidelity diffusion path, ensuring high-quality, structurally accurate, and computationally efficient enhancement of noisy radiographs.

Research-grade PyTorch framework for restoring degraded low-dose SEM images using NAFNet, with emphasis on noise reduction, structural fidelity, and semiconductor defect inspection.