GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- pytorch
- gan
- deep-learning
- super-resolution
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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Invoke is a leading creative engine that uses image and video generation models to empower professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry-leading application interface, and serves as the foundation for multiple commercial products.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
An AI-powered web suite for advanced image processing and generation. VisioCraft integrates state-of-the-art computer vision models; including YOLO, SAM, and LaMa; to provide seamless object extraction, content-aware fill, and image generation through an interactive canvas UI.
Generate, animate and schedule your AI characters 🤖
Automates PWA asset generation and image declaration. Automatically generates icon and splash screen images, favicons and mstile images. Updates manifest.json and index.html files with the generated images according to Web App Manifest specs and Apple Human Interface guidelines.
Turn your rough sketch into a refined image using AI
Automatically remove the mosaics in images and videos, or add mosaics to them.
[NeurIPS 2025] OmniSVG is the first family of end-to-end multimodal SVG generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed SVGs, from simple icons to intricate anime characters.
Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]