{"action":"created","issue":{"url":"https://api.github.com/repos/jcjohnson/neural-style/issues/237","repository_url":"https://api.github.com/repos/jcjohnson/neural-style","labels_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/237/labels{/name}","comments_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/237/comments","events_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/237/events","html_url":"https://github.com/jcjohnson/neural-style/issues/237","id":157625019,"number":237,"title":"Non-issue: relative style layers weights","user":{"login":"htoyryla","id":15064373,"avatar_url":"https://avatars.githubusercontent.com/u/15064373?v=3","gravatar_id":"","url":"https://api.github.com/users/htoyryla","html_url":"https://github.com/htoyryla","followers_url":"https://api.github.com/users/htoyryla/followers","following_url":"https://api.github.com/users/htoyryla/following{/other_user}","gists_url":"https://api.github.com/users/htoyryla/gists{/gist_id}","starred_url":"https://api.github.com/users/htoyryla/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/htoyryla/subscriptions","organizations_url":"https://api.github.com/users/htoyryla/orgs","repos_url":"https://api.github.com/users/htoyryla/repos","events_url":"https://api.github.com/users/htoyryla/events{/privacy}","received_events_url":"https://api.github.com/users/htoyryla/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":34,"created_at":"2016-05-31T09:14:53Z","updated_at":"2016-06-14T13:35:52Z","closed_at":null,"body":"I have for a long time been interested in the idea of adjusting the weights of style layers separately. For instance if I see that some layer is having far larger or smalled than typical losses,  it would be interesting to be able to adjust the weights.\r\n\r\nI have now implemented this in https://github.com/htoyryla/neural-style by adding a new parameter -style_layer_weights, which accepts a comma-separated list of multipliers. The weight of each style layer will then be multiplier * style_weight. If the parameter is omitted, each layer will have multiplier = 1.\r\n\r\nI assume that this is not for the average user, and that's why I didn't make this a pull request. But there might be other experiment-oriented users around, so I am letting them know that this exists."},"comment":{"url":"https://api.github.com/repos/jcjohnson/neural-style/issues/comments/225882475","html_url":"https://github.com/jcjohnson/neural-style/issues/237#issuecomment-225882475","issue_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/237","id":225882475,"user":{"login":"mystcat","id":18401347,"avatar_url":"https://avatars.githubusercontent.com/u/18401347?v=3","gravatar_id":"","url":"https://api.github.com/users/mystcat","html_url":"https://github.com/mystcat","followers_url":"https://api.github.com/users/mystcat/followers","following_url":"https://api.github.com/users/mystcat/following{/other_user}","gists_url":"https://api.github.com/users/mystcat/gists{/gist_id}","starred_url":"https://api.github.com/users/mystcat/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mystcat/subscriptions","organizations_url":"https://api.github.com/users/mystcat/orgs","repos_url":"https://api.github.com/users/mystcat/repos","events_url":"https://api.github.com/users/mystcat/events{/privacy}","received_events_url":"https://api.github.com/users/mystcat/received_events","type":"User","site_admin":false},"created_at":"2016-06-14T13:35:52Z","updated_at":"2016-06-14T13:35:52Z","body":"@htoyryla \r\n> if you read the original paper\r\n\r\nYes I did. As many researchers proved later, authors were wrong about at least two things:\r\n- Random initialization does NOT give good results. Nobody uses it in their production systems like deepart (backed by authors themselves) or ostagram (uses jcjohnson implementation).\r\n- AVG pooling does NOT give more appealing results either.\r\n\r\nSo we are speaking about \"-init image\" here by definition - common sense after millions of generated images. Please don't appeal to original paper if you are not following it thoroughly. \r\n\r\nAbility to admit his own mistake is a quality of strong minds. It is indeed easier to just close discussion if you are running out of arguments.\r\n\r\nI agree it doesn't worth time to continue this argument. I just wanted to point out that some claims were false. Didn't want to prove you anything. It doesn't worth time.\r\n\r\nThank you for trying proposed idea anyway. "}}
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