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IOPaint is an AI image editor and Stable Diffusion inpainting tool providing a web interface for removing objects and replacing image content. It utilizes latent diffusion image processing to synthesize high-resolution replacements for erased sections of an image. The project features a specialized AI background remover for isolating subjects and an AI image upscaler that employs super-resolution models for general photos and anime artwork. The software covers a broad range of capabilities including image segmentation for object isolation, face restoration for improving facial details, and t
Neuraloperator is a library for learning mappings between infinite-dimensional function spaces, serving as a tool to accelerate physics simulations and partial differential equation solving. It implements resolution-invariant models and spectral neural networks that can produce consistent predictions regardless of the input grid resolution or spatial discretization. The framework incorporates physics-informed neural networks that enforce physical constraints and differential equations through specialized loss functions. It utilizes Fourier transforms and spectral projections to process multid
GFPGAN is a generative face restoration model and Python-based image processing tool designed to restore low-resolution facial images. It utilizes generative adversarial networks to recover fine details and increase the clarity of degraded portraits. The system employs a generative facial prior to map degraded images to a high-quality manifold, enabling blind-face restoration without requiring knowledge of the specific degradation process. It utilizes a multi-stage workflow that includes face detection, alignment, and region-specific masking to separate facial areas from the background. Beyo
BasicSR is a PyTorch-based image restoration toolbox and framework designed for training and deploying deep learning models to upscale, denoise, and deblur images and videos. It serves as a comprehensive system for image super-resolution and video quality restoration, providing the necessary infrastructure to recover fine visual details and increase pixel density. The project distinguishes itself through specialized toolkits for facial image enhancement and high-fidelity face synthesis, as well as a dedicated video quality restoration suite that utilizes deformable convolutions and generative
Lama is an image restoration framework and deep learning model designed for image inpainting and object removal. It provides the tools necessary to train and evaluate neural networks that fill masked areas and repair corrupted visual data.
The main features of advimman/lama are: Image Inpainting, Fourier Convolutional Networks, Custom Model Training, Deep Learning Training Pipelines, Image Region Reconstruction, Image Restoration Models, Image Restoration Model Training, Resolution-Independent Inference.
Projects with overlapping indexed features include: sanster/iopaint — IOPaint is an AI image editor and Stable Diffusion inpainting tool providing a web interface for removing objects and… neuraloperator/neuraloperator — Neuraloperator is a library for learning mappings between infinite-dimensional function spaces, serving as a tool to… xpixelgroup/basicsr — BasicSR is a PyTorch-based image restoration toolbox and framework designed for training and deploying deep learning… tencentarc/gfpgan — GFPGAN is a generative face restoration model and Python-based image processing tool designed to restore… lyhue1991/eat_tensorflow2_in_30_days — This project is a structured learning curriculum and technical reference for mastering deep learning with TensorFlow.… sanster/lama-cleaner — Lama Cleaner is an AI-powered image editing application focused on inpainting, object removal, and generative filling.…