Comments (1)
The GAN-only model is not based exactly on any single prior model. The generator is similar to what has previously been used for video prediction (not pix2pix). The discriminator is based on the one from SNGAN except that the conv2d layers have been replaced with conv3d layers in order to discriminate videos instead of single images.
Yes, the GAN-only model is the same as SAVP but without the VAE (and without the second discriminator that discriminate videos sampled from the posterior).
from video_prediction.
Related Issues (20)
- Is downloading dataset necessary for sample prediction videos? HOT 1
- Error in downloading dataset (partially downloaded) HOT 1
- Checkpoint data loss error when evaluating
- Training stability & progress HOT 1
- train with my own dataset
- what is the difference between Bair action free and action conditioned HOT 1
- FailedPreconditionError while trying to predict using gan_only model on KTH
- ValueError: as_list() is not defined on an unknown TensorShape. HOT 6
- Unable to download pretrained model HOT 1
- Using trained model for custom sized images HOT 1
- Questions about evaluation with the deterministic model
- KeyError: 'gen_states' when run train.py
- KL Loss Weight is zero
- The KHT dataset have not existed any more
- File "scripts/generate.py", line 15, in <module> from video_prediction import datasets, models ModuleNotFoundError: No module named 'video_prediction' HOT 1
- Training error HOT 4
- Testing on custom images
- Dependency Nightmare
- bash download pre-trained model gives an error
- CDNA Masks
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from video_prediction.