SDGAN 《Semantics Disentangling for Text-to-Image Generation》探析
論文地址：https://arxiv.org/abs/1904.01480v1 收錄於：CVPR 2019 這篇文章屬於Text-to-Image一類，它所解決的主要任務是如何根據文本的描述生成相應的圖像，不僅要求生成的圖像要清晰真實，而且更要求其符合給定的文本描述。類似的GAN模型有StackGAN（《StackGAN:Text to Photo-realistic Image Synthesi
相關文章
- 1. ACL2020 Semantics-aware BERT for Language Understanding
- 2. RL for Sentence Generation
- 3. Adversarial Learning for Neural Dialogue Generation 代碼分析
- 4. Review networks for caption generation
- 5. [ICCV2019] Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
- 6. Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 7. Graph R-CNN for Scene Graph Generation
- 8. Synchronous Bidirectional Inference for Neural Sequence Generation
- 9. Deep Reinforcement Learning for Dialogue Generation
- 10. Clang AST parsing for automated code generation
- 更多相關文章...
- • Swift for 循環 - Swift 教程
- • Scala for循環 - Scala教程
- • 互聯網組織的未來：剖析GitHub員工的任性之源
- • 算法總結-深度優先算法
相關標籤/搜索
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. Window下Ribbit MQ安裝
- 2. Linux下Redis安裝及集羣搭建
- 3. shiny搭建網站填坑戰略
- 4. Mysql8.0.22安裝與配置詳細教程
- 5. Hadoop安裝及配置
- 6. Python爬蟲初學筆記
- 7. 部署LVS-Keepalived高可用集羣
- 8. keepalived+mysql高可用集羣
- 9. jenkins 公鑰配置
- 10. HA實用詳解
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. ACL2020 Semantics-aware BERT for Language Understanding
- 2. RL for Sentence Generation
- 3. Adversarial Learning for Neural Dialogue Generation 代碼分析
- 4. Review networks for caption generation
- 5. [ICCV2019] Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
- 6. Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 7. Graph R-CNN for Scene Graph Generation
- 8. Synchronous Bidirectional Inference for Neural Sequence Generation
- 9. Deep Reinforcement Learning for Dialogue Generation
- 10. Clang AST parsing for automated code generation