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Dense Pose Transfer.pdf

Natalia_Neverova_Two_Stream__ECCV_2018_paper.pdf

🔗 Source: openaccess.thecvf.com

📊 Size: 1.37 MB

👤 Author: Natalia Neverova,Alp Guler,Iasonas Kokkinos

⬇️ Downloads: 79

Summary

Dense Pose Transfer integrates surface-based modeling with neural synthesis, allowing accurate pose transfer by synthesizing a new image of a person based on a single image and a pose donor image. The system uses dense pose estimation to map pixels to a common surface-based coordinate system, enabling correspondence between images. Inpainting and refinement are performed in the surface coordinate system, and predictions are fused with a convolutional predictive module through a neural synthesis module, trained end-to-end with adversarial and perceptual losses. This approach outperforms state-of-the-art generators on DeepFashion and MVC datasets, and has potential applications in computer graphics, virtual reality, and dataset augmentation.

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Description

Dense Pose Transfer integrates surface-based modeling with neural synthesis, allowing accurate pose transfer by synthesizing a new image of a person based on a...

Technical Information

File Format: PDF
File Size: 1.37 MB
Pages: 16
Language: EN
Author: Natalia Neverova,Alp Guler,Iasonas Kokkinos
Total Downloads: 79
Last Updated: 1 month ago

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This PDF document about Dense Pose Transfer provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Dense Pose Transfer.