SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On

@article{Jandial2020SieveNetAU,
  title={SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On},
  author={Surgan Jandial and Ayush Chopra and Kumar Ayush and Mayur Hemani and Abhijeet Kumar and Balaji Krishnamurthy},
  journal={2020 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2020},
  pages={2171-2179}
}
  • Surgan Jandial, Ayush Chopra, +3 authors Balaji Krishnamurthy
  • Published 2020
  • Computer Science, Engineering
  • 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
  • Image-based virtual try-on for fashion has gained considerable attention recently. The task requires trying on a clothing item on a target model image. An efficient framework for this is composed of two stages: (1) warping (transforming) the try-on cloth to align with the pose and shape of the target model, and (2) a texture transfer module to seamlessly integrate the warped try-on cloth onto the target model image. Existing methods suffer from artifacts and distortions in their try-on output… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 26 REFERENCES

    Toward Characteristic-Preserving Image-based Virtual Try-On Network

    VIEW 10 EXCERPTS
    HIGHLY INFLUENTIAL

    VITON: An Image-Based Virtual Try-on Network

    VIEW 8 EXCERPTS
    HIGHLY INFLUENTIAL

    SwapNet: Image Based Garment Transfer

    VIEW 1 EXCERPT

    Unsupervised Person Image Synthesis in Arbitrary Poses

    VIEW 1 EXCERPT

    Deformable GANs for Pose-Based Human Image Generation

    VIEW 1 EXCERPT

    A Variational U-Net for Conditional Appearance and Shape Generation

    Pose Aware Fine-Grained Visual Classification Using Pose Experts

    VIEW 1 EXCERPT

    Pose Guided Person Image Generation

    VIEW 2 EXCERPTS

    DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

    VIEW 1 EXCERPT

    The Conditional Analogy GAN: Swapping Fashion Articles on People Images

    VIEW 1 EXCERPT