Xiang Liang

Results 6 comments of Xiang Liang

I find in https://github.com/jcjohnson/fast-neural-style/blob/master/fast_neural_style/models.lua#L96, it has already support nearest neighbor upsampling to fix this problem.

The results looks awesome! Thanks! I will try to do more works on post-processing.

@jcjohnson I have tried to train with 200K images from coco, MIT space, and imageNet. Seems does not get better results. I will try this again later.

@jcjohnson what is your parameter for the_wave style. I seems can not reproduce your results with parameter in print_options.lua. Following is my result: ![free_coco_wave7](https://cloud.githubusercontent.com/assets/100203/19881813/d038fdaa-a043-11e6-9a35-7e899fa24d57.jpg) Your results ![th_free_wave](https://cloud.githubusercontent.com/assets/100203/19881820/deeb1c0c-a043-11e6-8df1-ac0dd2f488c7.jpg) prisma ![free_wave](https://cloud.githubusercontent.com/assets/100203/19881823/e99fc2ce-a043-11e6-99a1-123c1d260f74.jpg)

I also test failed on GTX 1080 Running GPU tests terminate called after throwing an instance of 'std::runtime_error' what(): Error: compute_ctc_loss in small_test, stat = execution failed Aborted