JavaShuo
欄目
標籤
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
時間 2020-01-29
標籤
narrative
description
generating
poetry
images
multi
adversarial
training
欄目
圖片處理
简体版
原文
原文鏈接
這是2018年4月24日用GAN和reinforcement learning(RL)作poetry generation from image的文章,paper鏈接https://arxiv.org/abs/1804.08473,暫時尚未找到做何的主頁和相關的code. 文章要所的事情: 輸入:image 輸出:poetry 文章中show出來的example。 文章與state-o
>>阅读原文<<
相關文章
1.
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
2.
Generating Images from Captions with Attention
3.
Every Picture Tells a Story: Generating Sentences from Images
4.
text to image(一):《GENERATING IMAGES FROM CAPTIONS WITH ATTENTION》
5.
Transferring GANs: generating images from limited data 論文學習
6.
Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images Datas
7.
CRAFT Objects from Images
8.
【paper 2】Learning from Simulated and Unsupervised Images through Adversarial Training
9.
THIS DATASET DOES NOT EXIST: TRAINING MODELS FROM GENERATED IMAGES論文筆記
10.
Learning from Simulated and Unsupervised Images through Adversarial Training:解析simGAN
更多相關文章...
•
Docker images 命令
-
Docker命令大全
•
SQLite Order By
-
SQLite教程
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
•
RxJava操作符(一)Creating Observables
相關標籤/搜索
description
poetry
generating
training
images
flink training
icon&images
import...from
at...from
select....from
圖片處理
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
css 讓chrome支持小於12px的文字
2.
集合的一點小總結
3.
ejb
4.
Selenium WebDriver API
5.
人工智能基礎,我的看法
6.
Non-local Neural及Self-attention
7.
Hbuilder 打開iOS真機調試操作
8.
improved open set domain adaptation with backpropagation 學習筆記
9.
Chrome插件 GitHub-Chart Commits3D直方圖視圖
10.
CISCO ASAv 9.15 - 體驗思科上一代防火牆
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
2.
Generating Images from Captions with Attention
3.
Every Picture Tells a Story: Generating Sentences from Images
4.
text to image(一):《GENERATING IMAGES FROM CAPTIONS WITH ATTENTION》
5.
Transferring GANs: generating images from limited data 論文學習
6.
Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images Datas
7.
CRAFT Objects from Images
8.
【paper 2】Learning from Simulated and Unsupervised Images through Adversarial Training
9.
THIS DATASET DOES NOT EXIST: TRAINING MODELS FROM GENERATED IMAGES論文筆記
10.
Learning from Simulated and Unsupervised Images through Adversarial Training:解析simGAN
>>更多相關文章<<