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Further results

Alexandru Dinu edited this page Jan 4, 2019 · 11 revisions

Trained on a smaller subset of YouTube dataset (2286 frames): num_epochs: 5, batch_size: 1, learning_rate: 1e-05.

3k optimization steps @ epoch 1

75k optimization steps @ epoch 1

140k optimization steps @ epoch 2

212k optimization steps @ epoch 2

277k optimization steps @ epoch 3

349k optimization steps @ epoch 3

414k optimization steps @ epoch 4

486k optimization steps @ epoch 4

551k optimization steps @ epoch 5

623k optimization steps @ epoch 5

662k optimization steps @ epoch 5

683k optimization steps @ epoch 5

Note: Some slight artifacts can be seen where patches connect. This is what smoothing.py fixes.

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