xinntao/Real-ESRGAN

{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "usefulness": "Long-standing practical image/video super-resolution toolkit trained on synthetic degradations, with general (x4plus, x2plus, general-x4v3), anime and anime-video models and portable ncnn-Vulkan executables that need no CUDA or PyTorch. The deterministic, low-hallucination upscaling baseline against which diffusion upscalers should be compared.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "PyTorch>=1.7 or ncnn-vulkan",
    "basicsr",
    "facexlib",
    "gfpgan (face enhancement)"
  ],
  "source_owner": "Xintao Wang / Tencent ARC Lab",
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "hardware_notes": "PyTorch route needs Python 3.7+ and PyTorch 1.7+; ncnn-Vulkan route needs no CUDA.",
  "known_limitations": [
    "Older GAN-based approach; will not synthesise new detail the way diffusion upscalers do.",
    "Uncertain maintenance."
  ],
  "upstream_updated_at": "2024-08-06T13:15:18.000Z"
}