IBM/MAX-Image-Resolution-Enhancer

• تحسين وترميم الصور بالذكاء الاصطناعي

الأسئلة الشائعة

• eutropicai/final2x

  EutropicAI/Final2x

  7,207عرض على GitHub↗

  Final2x is an AI image super-resolution tool and neural network inference engine designed to increase image resolution and reconstruct missing details while reducing noise. It functions as a cross-platform image upscaler that executes consistent super-resolution logic across different operating systems. The project serves as a custom model inference engine and upscaling interface, allowing for the import and application of user-defined super-resolution weights and architectures to tailor the visual output of enlarged images. The system utilizes hardware-accelerated processing to offload comp

  TypeScriptcomputer-visioncross-platformelectron

  عرض على GitHub↗7,207
• david-gpu/srez

  david-gpu/srez

  5,271عرض على GitHub↗

  Srez is a deep learning image super-resolution framework designed to upscale low-resolution images into sharp, high-resolution visual features. It functions as a neural network training tool that employs generative adversarial networks to synthesize realistic image details. The project includes a model evolution visualizer that generates animations and image batches to track visual improvements during the training process. It utilizes a combination of adversarial and L1 loss functions to optimize model weights and supports periodic state checkpointing for recovery and deployment. The system

  Python

  عرض على GitHub↗5,271
• alexjc/neural-enhance

  alexjc/neural-enhance

  11,873عرض على GitHub↗

  Neural Enhance is a deep learning image upscaler and restoration tool designed to increase image resolution and remove blur. It functions as a neural image restoration utility for eliminating noise and JPEG artifacts, and includes a framework for training and tuning custom neural network models against image datasets. The system utilizes a containerized environment to offload tensor calculations to GPU cores, speeding up neural network inference. It features a batch processing pipeline that queues multiple image files in sequence to maximize hardware throughput. Capabilities include domain-s

  Python

  عرض على GitHub↗11,873