What's New
ccrestoration and ccvfi are no longer maintained, consider using cccv instead.
In cccv, we have implemented most of the features from ccrestoration and ccvfi, Enjoy!
Base Environment
- system: Ubuntu 22.04
- GCC/G++: 13
- python: 3.10
- FFmpeg: 8.0
- Static FFmpeg: 8.0 (/static-ffmpeg/ffmpeg)
- VapourSynth: R70
- x264: latest
- x265: 4.1
- svt-av1-psy: latest
- aom: latest
- libvpx: latest
- fdk-aac: latest
- libass: latest
AI Environment
- CUDA toolkit: 12.9
- PyTorch: 2.8.0+cu128 ['sm_70', 'sm_75', 'sm_80', 'sm_86', 'sm_90', 'sm_100', 'sm_120']
- cupy: cuda12x
VapourSynth Python Plugin List
mbfunc
cccv
vsutil
mvsfuncVapourSynth C++ Plugin List
bestsource.so
libaddgrain.so
libakarin.so
libassrender.so
libbilateral.so
libbm3dcpu.so
libbm3dcuda.so
libbm3dcuda_rtc.so
libboxblur.so
libbwdif.so
libcas.so
libctmf.so
#libd2vsource.so
libdctfilter.so
libdescale.so
libdfttest2_cpu.so
libdfttest2_cuda.so
libdfttest2_nvrtc.so
libeedi2.so
libeedi3m.so
libffms2.so
libfillborders.so
libfluxsmooth.so
libfmtconv.so
libhqdn3d.so
libils.so
libmiscfilters.so
libmvtools.so
libneo-dfttest.so
libneo-f3kdb.so
libneo-fft3d.so
libnnedi3.so
libremapframes.so
libremovegrain.so
libretinex.so
libsangnom.so
libtcanny.so
libtedgemask.so
libttempsmooth.so
libvsnlm_cuda.so
libvsznedi3.so