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Anime4KCPP Latest GitHub release Platforms License

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About Anime4KCPP

Anime4KCPP provides an optimized bloc97's Anime4K algorithm version 0.9, and it also provides its own CNN algorithm ACNet, it provides a variety of way to use, including preprocessing and real-time playback, it aims to be a high performance tools to process both image and video.
This project is for learning and the exploration task of algorithm course in SWJTU.

About Anime4K09

Anime4K is a simple high-quality anime upscale algorithm. The version 0.9 does not use any machine learning approaches, and can be very fast in real-time processing or pretreatment.

About ACNet

ACNet is a CNN based anime upscale algorithm. It aims to provide both high-quality and high-performance.
HDN mode can better denoise, HDN level is from 1 to 3, higher for better denoising but may cause blur and lack of detail.
for detail, see wiki page.

Why Anime4KCPP

  • Cross-platform, building have already tested in Windows ,Linux, and macOS (Thanks for NightMachinary).
  • GPU acceleration support with all GPUs that implemented OpenCL 1.2 or newer.
  • CUDA acceleration.
  • High performance and low memory usage.
  • Support multiple usage methods.

Usage method

  • CLI
  • GUI
  • DirectShow Filter (Windows only, for MPC-HC/BE, potplayer and other DirectShow based players)
  • AviSynthPlus plugin
  • VapourSynth plugin
  • Android APP
  • C API binding
  • Python API binding
  • GLSL shader(For MPV based players)

For more infomation on how to use them, see wiki.

Result

examples

Performance

Single image (RGB):

Processor Type Algorithm 1080p -> 4K 512p -> 1024p Benchmark score
AMD Ryzen 2600 CPU ACNet 0.630 s 0.025 s 17.0068
Nvidia GTX1660 Super GPU ACNet 0.067 s 0.005 s 250
AMD Ryzen 2500U CPU ACNet 1.304 s 0.049 s 7.59301
AMD Vega 8 GPU ACNet 0.141 s 0.010 s 105.263
Snapdragon 820 CPU ACNet 5.532 s 0.180 s 1.963480
Adreno 530 GPU ACNet 3.133 s 0.130 s 3.292723
Snapdragon 855 CPU ACNet 3.998 s 0.204 s * 3.732736
Adreno 640 GPU ACNet 1.611 s 0.060 s 6.389776
Intel Atom N2800 CPU ACNet 11.827 s 0.350 s 0.960984
Raspberry Pi Zero W CPU ACNet 114.94 s 3.312 s 0.101158

*Snapdragon 855 may use Cortex-A55 core under low loads, which may lead to its performance not as good as Snapdragon 820

Building

For information on how to compile Anime4KCPP, see wiki.

Related projects

pyanime4k

pyanime4k is an Anime4KCPP API binding in Python, easy and fast.

ACNetGLSL

ACNetGLSL is an ACNet (Anime4KCPP Net) re-implemented in GLSL for real-time anime upscaling.

Projects that use Anime4KCPP

Credits

Acknowledgement

semmyenator : Traditional Chinese, Japanese and French translation for GUI

All images are drawn by my friend King of learner and authorized to use, only for demonstration, do not use without permission.


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