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6 रिपॉजिटरी

Awesome GitHub RepositoriesStatic Image Upscalers

AI-based algorithms that enlarge anime still images while preserving sharpness and reducing artifacts.

Distinct from Anime Upscaling Shaders: Distinct from Anime Upscaling Shaders: focuses on static image upscaling rather than video frame processing.

Explore 6 awesome GitHub repositories matching graphics & multimedia · Static Image Upscalers. Refine with filters or upvote what's useful.

Awesome Static Image Upscalers GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • lltcggie/waifu2x-caffelltcggie का अवतार

    lltcggie/waifu2x-caffe

    8,228GitHub पर देखें↗

    waifu2x-caffe is a deep learning image upscaler and denoiser that uses the Caffe framework to increase image resolution and remove noise from illustrations and photographs. It functions as a neural network image processor that reduces compression artifacts and pixelation while maintaining visual clarity. The project provides specialized neural network weights optimized separately for 2D illustrations and real-world photographs. It includes distinct processing for alpha channels to preserve transparency and employs test-time augmentation to improve output precision. The tool supports both a c

    Implements AI-based algorithms that enlarge static images while preserving sharpness and reducing artifacts.

    C++
    GitHub पर देखें↗8,228
  • eutropicai/final2xEutropicAI का अवतार

    EutropicAI/Final2x

    7,207GitHub पर देखें↗

    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

    Provides a system for importing and applying user-defined super-resolution models to tailor the visual output of enlarged images.

    TypeScriptcomputer-visioncross-platformelectron
    GitHub पर देखें↗7,207
  • lxfater/inpaint-weblxfater का अवतार

    lxfater/inpaint-web

    5,834GitHub पर देखें↗

    A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。

    Uses WebGPU and WASM to increase pixel dimensions while preserving detail, processed locally on the client.

    TypeScriptimage-upscalinginpaintingsuper-resolution
    GitHub पर देखें↗5,834
  • bilibili/ailabbilibili का अवतार

    bilibili/ailab

    5,833GitHub पर देखें↗

    ailab is a deep learning tool designed to upscale anime-style images, increasing their resolution while preserving fine details. It is built around a cascade U-Net architecture, a multi-stage neural network model that refines image quality through successive stages, and uses PyTorch for inference. The tool specializes in enhancing anime and cartoon-style artwork, applying super-resolution techniques to boost pixel dimensions without sacrificing visual fidelity. It processes images through a pipeline that includes tensor preprocessing, model inference, and post-processing pixel reconstruction,

    Uses a deep-learning cascade U-Net model to increase the resolution of anime-style images while preserving fine details.

    Python
    GitHub पर देखें↗5,833
  • tonquer/picacg-qttonquer का अवतार

    tonquer/picacg-qt

    5,055GitHub पर देखें↗

    picacg-qt रिमोट सेवाओं से डिजिटल मंगा और कॉमिक्स ब्राउज़ करने और पढ़ने के लिए एक क्रॉस-प्लेटफ़ॉर्म डेस्कटॉप क्लाइंट है। यह रिमोट लाइब्रेरी को नेविगेट करने, विशिष्ट शीर्षकों को खोजने और Windows, Linux व MacOS पर मीडिया कंटेंट देखने के लिए एक समर्पित इंटरफेस प्रदान करता है। एप्लिकेशन में कॉमिक इमेज के रिज़ॉल्यूशन और विजुअल क्वालिटी को अपस्केल करने के लिए एक एकीकृत आर्टिफिशियल इंटेलिजेंस टूल शामिल है। यह एक ऑफलाइन डाउनलोडर के रूप में भी कार्य करता है, जो उपयोगकर्ताओं को रिमोट प्रोवाइडर्स से कॉमिक सेट और इमेज को लोकल स्टोरेज में आर्काइव करने की अनुमति देता है। सिस्टम ऑफलाइन एक्सेस का समर्थन करने के लिए एसिंक्रोनस मीडिया डाउनलोडिंग और लोकल इमेज कैशिंग को हैंडल करता है।

    Integrates AI-based algorithms to enlarge manga still images while preserving sharpness and reducing artifacts.

    Pythonbikacomicdoujinshi
    GitHub पर देखें↗5,055
  • idealo/image-super-resolutionidealo का अवतार

    idealo/image-super-resolution

    4,813GitHub पर देखें↗

    This PyTorch-based image super-resolution tool provides a deep learning pipeline for upscaling low-resolution images. It utilizes generative adversarial networks to increase pixel density and reconstruct high-resolution image details. The system includes a GAN-based image upscaler and a training pipeline that optimizes neural network weights using paired datasets and custom loss functions. To manage hardware resources, a patch-based image processor splits high-resolution files into smaller segments to prevent memory allocation errors and system crashes. Additional capabilities include the ap

    Implements a system using generative adversarial networks to reconstruct high-resolution image details.

    Python
    GitHub पर देखें↗4,813
  1. Home
  2. Graphics & Multimedia
  3. Video Upscaling Pipelines
  4. Anime Upscaling Shaders
  5. Static Image Upscalers

सब-टैग एक्सप्लोर करें

  • Cross-Platform UpscalersImage upscaling applications designed to run consistent logic across multiple operating systems with hardware acceleration. **Distinct from GPU Accelerated Upscalers:** Combines cross-platform runtime requirements with the specific domain of image upscaling.
  • Custom Model InterfacesInterfaces for importing and applying user-defined super-resolution models to tailor visual output. **Distinct from Static Image Upscalers:** Focuses on the interface for importing and applying custom models rather than the upscaling algorithm itself.
  • GAN-Based UpscalersGenerative adversarial networks specifically designed to increase the pixel resolution of images. **Distinct from Static Image Upscalers:** Focuses on resolution increase via GANs rather than just enlarging anime stills.
  • GPU Accelerated UpscalersImage upscaling tools that specifically utilize GPU acceleration for high-performance processing. **Distinct from Static Image Upscalers:** Adds the hardware acceleration requirement to the static image upscaling capability.
  • Local UpscalersImage resolution enhancers that increase pixel dimensions on-device through WebGPU and WASM, keeping all processing private and offline. **Distinct from Static Image Upscalers:** Distinct from Static Image Upscalers: emphasizes local-only processing for privacy, not just AI upscaling.
  • WASM-Based UpscalersImage resolution enhancers that use WebAssembly to increase pixel dimensions while preserving detail, processed locally on the client. **Distinct from Static Image Upscalers:** Distinct from Static Image Upscalers: specifically uses WASM for browser-based execution, not general AI upscaling.
  • WebGPU UpscalersImage resolution enhancers that use WebGPU and WASM to increase pixel dimensions while preserving detail, processed locally on the client. **Distinct from Static Image Upscalers:** Distinct from Static Image Upscalers: specifically uses WebGPU for GPU acceleration, not general AI upscaling.