Controllable Person Image Synthesis with Attribute-Decomposed GAN
1. Idea 可控性的圖像生成 提出了具有兩個獨立pathways的生成器。其中一個pathway是用於pose encoding,另一個用於decomposed component encoding。 對於後者首先使用預訓練的human parser從source person image 中自動地分離出component attributes（得到的是semantic layouts）。得到
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相關文章
- 1. 論文解讀-Controllable Person Image Synthesis with Attribute-Decomposed GAN
- 2. Unsupervised Person Image Synthesis in Arbitrary Poses 筆記
- 3. LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 4. text to image（九）:《Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Ne 》
- 5. Generative Adversarial Text to Image Synthesis
- 6. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 7. Semantic Image Synthesis with Spatially-Adaptive Normalization（CVPR19）
- 8. Image-Image Domain Adaptation with Preserved Self-Similarity andDomain-Dissimilarity for Person Re-i
- 9. Hierarchical Generative Modeling for Controllable Speech Synthesis筆記
- 10. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks