SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
#Problem Traditional GAN methods directly operate on the whole image, and inevitably change the attribute-irrelevant regions The performance of traditional regression methods heavily depends on the pa
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相關文章
- 1. SC-FEGAN: Face Editing Generative Adversarial Network with User’s Sketch and Color
- 2. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
- 3. Spatial Attention Network for Scene Parsing
- 4. Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
- 5. Age Progression and Regression with Spatial Attention Modules（AAAI20）
- 6. STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing（CVPR19）
- 7. Face Aging with Contextual Generative Adversarial Nets
- 8. Face Paper：Face Attention Network: An Effective Face Detector for the Occluded Faces
- 9. Finding Tiny Faces in the Wild with Generative Adversarial Network
- 10. Learning Oracle Attention for High-fidelity Face Completion