{"action":"created","issue":{"url":"https://api.github.com/repos/pfnet-research/sngan_projection/issues/15","repository_url":"https://api.github.com/repos/pfnet-research/sngan_projection","labels_url":"https://api.github.com/repos/pfnet-research/sngan_projection/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/pfnet-research/sngan_projection/issues/15/comments","events_url":"https://api.github.com/repos/pfnet-research/sngan_projection/issues/15/events","html_url":"https://github.com/pfnet-research/sngan_projection/issues/15","id":325198706,"node_id":"MDU6SXNzdWUzMjUxOTg3MDY=","number":15,"title":"How to combine wgan and spectral norm?","user":{"login":"zhangqianhui","id":7938702,"node_id":"MDQ6VXNlcjc5Mzg3MDI=","avatar_url":"https://avatars0.githubusercontent.com/u/7938702?v=4","gravatar_id":"","url":"https://api.github.com/users/zhangqianhui","html_url":"https://github.com/zhangqianhui","followers_url":"https://api.github.com/users/zhangqianhui/followers","following_url":"https://api.github.com/users/zhangqianhui/following{/other_user}","gists_url":"https://api.github.com/users/zhangqianhui/gists{/gist_id}","starred_url":"https://api.github.com/users/zhangqianhui/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhangqianhui/subscriptions","organizations_url":"https://api.github.com/users/zhangqianhui/orgs","repos_url":"https://api.github.com/users/zhangqianhui/repos","events_url":"https://api.github.com/users/zhangqianhui/events{/privacy}","received_events_url":"https://api.github.com/users/zhangqianhui/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":44,"created_at":"2018-05-22T08:54:01Z","updated_at":"2018-11-14T13:33:57Z","closed_at":null,"author_association":"NONE","body":"Your spectral normalization normalizes the spectral norm of the weight matrix W so that it satisfies the Lipschitz constraint = 1. So we consider whether to combine the wasserstein gan with spectral normalization or not?\r\n\r\nSo, we have done some related experiments using wgan with sn normalization(remove gradient penalty). However,  The network is very unstable and hard to generate very high-quality samples.\r\n\r\nWe hope to know how to combine wgan and your sn normalization without gradient penalty?\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/pfnet-research/sngan_projection/issues/comments/438663073","html_url":"https://github.com/pfnet-research/sngan_projection/issues/15#issuecomment-438663073","issue_url":"https://api.github.com/repos/pfnet-research/sngan_projection/issues/15","id":438663073,"node_id":"MDEyOklzc3VlQ29tbWVudDQzODY2MzA3Mw==","user":{"login":"HuaqiangWei","id":31384511,"node_id":"MDQ6VXNlcjMxMzg0NTEx","avatar_url":"https://avatars3.githubusercontent.com/u/31384511?v=4","gravatar_id":"","url":"https://api.github.com/users/HuaqiangWei","html_url":"https://github.com/HuaqiangWei","followers_url":"https://api.github.com/users/HuaqiangWei/followers","following_url":"https://api.github.com/users/HuaqiangWei/following{/other_user}","gists_url":"https://api.github.com/users/HuaqiangWei/gists{/gist_id}","starred_url":"https://api.github.com/users/HuaqiangWei/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HuaqiangWei/subscriptions","organizations_url":"https://api.github.com/users/HuaqiangWei/orgs","repos_url":"https://api.github.com/users/HuaqiangWei/repos","events_url":"https://api.github.com/users/HuaqiangWei/events{/privacy}","received_events_url":"https://api.github.com/users/HuaqiangWei/received_events","type":"User","site_admin":false},"created_at":"2018-11-14T13:33:57Z","updated_at":"2018-11-14T13:33:57Z","author_association":"NONE","body":"> @HuaqiangWei sorry, no. I think this combination make no sense\r\n\r\nThank you for your answer. But according to the paper, isn't spectral normalization a substitute for gradient punishment in WGAN-GP?"}}
{"actor":{"display_login":"HuaqiangWei"}}