HEVC-CU-depths-prediction-CNN
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wolverinn
Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.
Hi there, your encoding approach sounds really interesting ! It would be very interesting to apply it to AV1 encoding (wich is *extremely* heavy/slow)... ...it would be also nice to...
Hello there, I am recently studying on your code, the outcome of the CNN oriented network is fansinating, but I am wondering if you could show me some clues about...
hello, Encoding time of using CNN didn't reduce the time, however, more than the time of using original HM. This why? I need your help. Thank you !!!
Hello, I would like to ask you how you embedded the CNN into the encoder. It would be very helpful if I could inform, I would be grateful.
I need help, I am trying to reimplement the code on the cpu but I am getting this error: "RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available()...
