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Multi-View Image-to-Image Translation Supervised by 3D Pose

arXiv 2104.05779 ↗First posted 12 Apr 2021cs.CVcited by 0

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Abstract (arXiv)

We address the task of multi-view image-to-image translation for person image generation. The goal is to synthesize photo-realistic multi-view images with pose-consistency across all views. Our proposed end-to-end framework is based on a joint learning of multiple unpaired image-to-image translation models, one per camera viewpoint. The joint learning is imposed by constraints on the shared 3D human pose in order to encourage the 2D pose projections in all views to be consistent. Experimental results on the CMU-Panoptic dataset demonstrate the effectiveness of the suggested framework in generating photo-realistic images of persons with new poses that are more consistent across all views in comparison to a standard Image-to-Image baseline. The code is available at: https://github.com/sony-si/MultiView-Img2Img

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 30 of its 41 references that are in the map. First posted on arXiv 12 Apr 2021.

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30 of 41 references.

References · 30

  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  2. 2013Auto-Encoding Variational Bayescited by 3,980
  3. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  4. 2019StarGAN v2: Diverse Image Synthesis for Multiple Domainscited by 1,095
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  10. 2016Panoptic Studio: A Massively Multiview System for Social Interaction Capturecited by 173
  11. 2017Deformable GANs for Pose-based Human Image Generationcited by 166
  12. 2019Learnable Triangulation of Human Posecited by 160
18 more
  1. 2019Progressive Pose Attention Transfer for Person Image Generationcited by 138
  2. 2018A Variational U-Net for Conditional Appearance and Shape Generationcited by 124
  3. 2017Disentangled Person Image Generationcited by 98
  4. 2018Synthesizing Images of Humans in Unseen Posescited by 96
  5. 2020XingGAN for Person Image Generationcited by 81
  6. 2017Pose-Normalized Image Generation for Person Re-identificationcited by 69
  7. 2018Unsupervised Person Image Synthesis in Arbitrary Posescited by 55
  8. 2016Synthesizing Training Images for Boosting Human 3D Pose Estimationcited by 52
  9. 2017A Generative Model of People in Clothingcited by 37
  10. 2019Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generationcited by 34
  11. 2019Unsupervised Person Image Generation with Semantic Parsing Transformationcited by 32
  12. 2017Multi-View Image Generation from a Single-Viewcited by 27
  13. 2017XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappingscited by 27
  14. 2016Pixel-Level Domain Transfercited by 25
  15. 2019Appearance and Pose-Conditioned Human Image Generation using Deformable GANscited by 24
  16. 2020Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometrycited by 18
  17. 2020Generating Person Images with Appearance-aware Pose Stylizercited by 13
  18. 2019Unpaired Pose Guided Human Image Generationcited by 8

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