{"action":"opened","issue":{"url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/1185","repository_url":"https://api.github.com/repos/arXivTimes/arXivTimes","labels_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/1185/labels{/name}","comments_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/1185/comments","events_url":"https://api.github.com/repos/arXivTimes/arXivTimes/issues/1185/events","html_url":"https://github.com/arXivTimes/arXivTimes/issues/1185","id":435563608,"node_id":"MDU6SXNzdWU0MzU1NjM2MDg=","number":1185,"title":"Neural Painters: A learned differentiable constraint for generating brushstroke paintings","user":{"login":"icoxfog417","id":544269,"node_id":"MDQ6VXNlcjU0NDI2OQ==","avatar_url":"https://avatars0.githubusercontent.com/u/544269?v=4","gravatar_id":"","url":"https://api.github.com/users/icoxfog417","html_url":"https://github.com/icoxfog417","followers_url":"https://api.github.com/users/icoxfog417/followers","following_url":"https://api.github.com/users/icoxfog417/following{/other_user}","gists_url":"https://api.github.com/users/icoxfog417/gists{/gist_id}","starred_url":"https://api.github.com/users/icoxfog417/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/icoxfog417/subscriptions","organizations_url":"https://api.github.com/users/icoxfog417/orgs","repos_url":"https://api.github.com/users/icoxfog417/repos","events_url":"https://api.github.com/users/icoxfog417/events{/privacy}","received_events_url":"https://api.github.com/users/icoxfog417/received_events","type":"User","site_admin":false},"labels":[{"id":526884338,"node_id":"MDU6TGFiZWw1MjY4ODQzMzg=","url":"https://api.github.com/repos/arXivTimes/arXivTimes/labels/CNN","name":"CNN","color":"fbca04","default":false},{"id":469035224,"node_id":"MDU6TGFiZWw0NjkwMzUyMjQ=","url":"https://api.github.com/repos/arXivTimes/arXivTimes/labels/ComputerVision","name":"ComputerVision","color":"fef2c0","default":false},{"id":883779864,"node_id":"MDU6TGFiZWw4ODM3Nzk4NjQ=","url":"https://api.github.com/repos/arXivTimes/arXivTimes/labels/Generation","name":"Generation","color":"f9c6c2","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-04-22T00:41:00Z","updated_at":"2019-04-22T00:41:00Z","closed_at":null,"author_association":"MEMBER","body":"## 一言でいうと\r\n\r\nブラシストロークを学習させるネットワークの提案。VAEで画像の表現を学習、全結合でブラシアクションをVAE表現との対応を学習、GANでブラシアクションによる画像生成を学習、と3段階で学習を行い学習効率をあげている。生成画像のクラス分類タスクを入れることで、任意クラスの画像生成も行なっている\r\n\r\n### 論文リンク\r\n\r\nhttps://arxiv.org/abs/1904.08410\r\n\r\n### 著者/所属機関\r\n\r\nReiichiro Nakano\r\n\r\n* Independent Researcher\r\n\r\n### 投稿日付(yyyy/MM/dd)\r\n\r\n2019/4/17\r\n\r\n## 概要\r\n\r\n## 新規性・差分\r\n\r\n## 手法\r\n\r\n## 結果\r\n\r\n## コメント\r\n\r\n"}}
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