{"action":"created","issue":{"url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/issues/82","repository_url":"https://api.github.com/repos/TwistedW/TwistedW.github.io","labels_url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/issues/82/labels{/name}","comments_url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/issues/82/comments","events_url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/issues/82/events","html_url":"https://github.com/TwistedW/TwistedW.github.io/issues/82","id":369792769,"node_id":"MDU6SXNzdWUzNjk3OTI3Njk=","number":82,"title":"SN-GAN论文解读 | TwistedW's Home","user":{"login":"TwistedW","id":24953417,"node_id":"MDQ6VXNlcjI0OTUzNDE3","avatar_url":"https://avatars1.githubusercontent.com/u/24953417?v=4","gravatar_id":"","url":"https://api.github.com/users/TwistedW","html_url":"https://github.com/TwistedW","followers_url":"https://api.github.com/users/TwistedW/followers","following_url":"https://api.github.com/users/TwistedW/following{/other_user}","gists_url":"https://api.github.com/users/TwistedW/gists{/gist_id}","starred_url":"https://api.github.com/users/TwistedW/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TwistedW/subscriptions","organizations_url":"https://api.github.com/users/TwistedW/orgs","repos_url":"https://api.github.com/users/TwistedW/repos","events_url":"https://api.github.com/users/TwistedW/events{/privacy}","received_events_url":"https://api.github.com/users/TwistedW/received_events","type":"User","site_admin":false},"labels":[{"id":1089697705,"node_id":"MDU6TGFiZWwxMDg5Njk3NzA1","url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/labels/2018-10-13%2000:00:00%20+0000","name":"2018-10-13 00:00:00 +0000","color":"ededed","default":false},{"id":921274647,"node_id":"MDU6TGFiZWw5MjEyNzQ2NDc=","url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/labels/gitment","name":"gitment","color":"ededed","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-10-13T11:17:09Z","updated_at":"2018-10-18T00:55:23Z","closed_at":null,"author_association":"OWNER","body":"http://www.twistedwg.com/2018/10/13/SNGAN.html\n\n"},"comment":{"url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/issues/comments/430838594","html_url":"https://github.com/TwistedW/TwistedW.github.io/issues/82#issuecomment-430838594","issue_url":"https://api.github.com/repos/TwistedW/TwistedW.github.io/issues/82","id":430838594,"node_id":"MDEyOklzc3VlQ29tbWVudDQzMDgzODU5NA==","user":{"login":"TwistedW","id":24953417,"node_id":"MDQ6VXNlcjI0OTUzNDE3","avatar_url":"https://avatars1.githubusercontent.com/u/24953417?v=4","gravatar_id":"","url":"https://api.github.com/users/TwistedW","html_url":"https://github.com/TwistedW","followers_url":"https://api.github.com/users/TwistedW/followers","following_url":"https://api.github.com/users/TwistedW/following{/other_user}","gists_url":"https://api.github.com/users/TwistedW/gists{/gist_id}","starred_url":"https://api.github.com/users/TwistedW/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TwistedW/subscriptions","organizations_url":"https://api.github.com/users/TwistedW/orgs","repos_url":"https://api.github.com/users/TwistedW/repos","events_url":"https://api.github.com/users/TwistedW/events{/privacy}","received_events_url":"https://api.github.com/users/TwistedW/received_events","type":"User","site_admin":false},"created_at":"2018-10-18T00:55:23Z","updated_at":"2018-10-18T00:55:23Z","author_association":"OWNER","body":"@bojone 我认可你的看法，但是从GAN的平衡上判别器的能力确实过于强大了，单纯控制学习率和迭代次数效果一般，Lipschitz约束为D做了一个规范，缓解了D和G不平衡的问题，虽然理论上普通GAN不需要加Lipschitz，但是这样做确实在生成效果上是提高的，当成一个Trick也是能接受的。"}}
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