Photographic Image Synthesis with Cascaded Refinement Networks 論文解讀
論文鏈接: https://arxiv.org/abs/1707.09405. GitHub代碼: https://github.com/CQFIO/PhotographicImageSynthesis. 這是一篇ICCV 2017的文章，與以往用GAN做text-to-image不同，它只用了CNN結構來完成這個任務，當然它的數據集也很特殊，是用圖像分隔的數據集，網絡輸入是語義佈局（semant
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相關文章
- 1. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 2. text to image（九）:《Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Ne 》
- 3. Generative Adversarial Text to Image Synthesis 論文解讀
- 4. 論文解讀-Controllable Person Image Synthesis with Attribute-Decomposed GAN
- 5. 論文閱讀——Towards Adversarial Retinal Image Synthesis
- 6. 論文閱讀High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
- 7. Image-to-Image Translation with Conditional Adversarial Networks論文閱讀分享(pix2pix)
- 8. [CVPR2017] Weakly Supervised Cascaded Convolutional Networks論文筆記
- 9. 論文解讀-Bag of Tricks for Image Classification with Convolutional Neural Networks
- 10. 《Motion-Guided Cascaded Refinement Network for Video Object Segmentation》論文閱讀