Comments (4)
The visualize option in this code lets you sample from the trained model to generate new images.
Separately I have found two others ways to make use of a trained model. First I train DCGAN on the images or videos of one specific person, then sample a straight line in the model's Z representation (which now represents the many views of this person's face) to create an animated facial expression. Another way is to train DCGAN on many faces, then use its model as a kind of reusable Universal Face Model to train on the faces of one specific person for creating this person's avatar, which results in faster training and better quality in generated images. You can see details of this in my report here: http://www.terraai.org/avatars/
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Another interesting to do would be vector arithmetic (as in the DCGAN paper), such as smiling woman - neutral woman + neutral man = smiling man
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@kaihuchen Hi, i'm curious about trainning videos ,can you give me some details?Thank you.
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@ppwwyyxx Hi! Could you share more about how to manipulate the vector arithmetic?
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Related Issues (20)
- input _fname_pattern"*.jpg" Synatx Error: Invalid Syntax error in line 91 in main.py
- Why the kernel size of discriminator is 4?
- raise Exception("[!] Entire dataset size is less than the configured batch_size") Exception: [!] Entire dataset size is less than the configured batch_size
- why my model is not converge after 300 epochs HOT 1
- checkpoint not found HOT 2
- What are the in/output node names for Generator and Discriminator? HOT 1
- Solved some problems in my repo/解决了一些问题
- raise Exception("Checkpoint not found in " + FLAGS.checkpoint_dir) Exception: Checkpoint not found in ./out\20200526.133337 - data - retina\checkpoint HOT 5
- Training and Test generating black squares HOT 2
- There are two bugs in the transform function in the utils.py HOT 2
- How to save discriminator network? HOT 2
- Can't create checkpoint
- cannot generate when testing
- failed to teat
- failed to test HOT 1
- NameError:name 'PIL' is not defined HOT 1
- ValueError: could not broadcast input array from shape (1,2048) into shape (98,1024) HOT 2
- TypeError: 'NoneType' object is not subscriptable
- How to generate larger images? HOT 1
- InvalidArgumentError (see above for traceback): Nan in summary histogram for: HistogramSummary_2 [[Node: HistogramSummary_2 = HistogramSummary[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](HistogramSummary_2/tag, discriminator_1/Sigmoid)]] HOT 1
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