[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
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Updated
Nov 18, 2025 - Python
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
One-click Face Swapper and Restoration powered by insightface 🔥
ONNX-Powered Inference for State-of-the-Art Face Upscalers
Local, API-free multi-stage identity pipeline: face recognition → liveness detection → super-resolution fallback → person Re-ID, built for realistic CCTV-style conditions.
Orchestrating AI for stunning lip-synced videos. Effortless workflow, exceptional results, all in one place.
Stable Diffusion Desktop client for Windows, macOS, and Linux built in Embarcadero Delphi.
当下热门的模糊人脸修复模型的部署,分别是:Codeformer,GFPGAN,GPEN,Restoreformer
使用ONNXRuntime部署CodeFormer图像清晰修复,包含C++和Python两个版本的程序
Tensorrt implementation for ultra fast face restoration inside ComfyUI
Video restoration Processing Pipeline
Makeup application through DLIB and postprocessing and face enhancement through CodeFormer
RunPod Serverless Worker for GPU-accelerated face swapping with 13 models, CodeFormer restoration, and VRAM-safe serial queue. Powered by insightface and FaceFusion.
GPU-accelerated face swapping API with 13 models, CodeFormer restoration, and VRAM-safe serial queue. Powered by insightface and FaceFusion.
Generate a diverse dataset of 100 face-swapped images using the Inswapper model for training robust face-swap detection classifiers. 🖼️🔍
Codeformer Tensorrt Face Restoration
python notebook super resolution
Offline AI image upscaler: 8× resolution with face restoration and noise removal. 15 models.
Web UI to interact with the code-former cmd tool (https://github.com/sczhou/CodeFormer)
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