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The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

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Hello, this is great job, really appreciated. I'm very interested by disflow and bilateralAdv but it seems to do not work for high resolution frames. return code -1073740791 for 4K...

Hi there, Over the last few days I roughly parallelized the computation of disflow, gauss and bilateralAdv. Using either the multiprocessing library from python or in the case of gauss,...

Like the title says, is there any way to get this working on Google Colab? This is what I've been looking for in such a long time.

Hi, I used my own dataset for training, and the following error occurred. Traceback (most recent call last): File "train.py", line 138, in trainer.train(generator, discriminator, int(config['trainer']['epochs']), args.data_root, args_config, 0) #训练策略...

Hello, can this model be used for the transition between three key frame images( For example, the attached pictures), i would like to ask what computer configuration is used for...

Thank you for your excellent contribution. I have a question to ask you. When I copy your code, if I use the configuration file reference_ P to retraining can not...

Thank you for your generous contribution. I have a question. How does this vgg pre-training model work? Can you provide a pre training model for vgg? What should I do...

The model definition and its training data seem to be available, but the "interactive" parts mentioned in the supplement are conspicuously absent. Is this intentional?

Hi, I am trying to train the model with the given 'Zuzka2_train' dataset on V100 1 GPU. I just used same command: "python train.py --config "_config/reference_P.yaml" --data_root "data/Zuzka2_train" --log_interval 1000...

How are the randomly dotted and colored frames generated?