mlsanityData to 14 Oct 2026

Pose-driven Attention-guided Image Generation for Person Re-Identification

arXiv 2104.13773 ↗First posted 28 Apr 2021cs.CV cs.AI cs.LGcited by 11

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Abstract (arXiv)

Person re-identification (re-ID) concerns the matching of subject images across different camera views in a multi camera surveillance system. One of the major challenges in person re-ID is pose variations across the camera network, which significantly affects the appearance of a person. Existing development data lack adequate pose variations to carry out effective training of person re-ID systems. To solve this issue, in this paper we propose an end-to-end pose-driven attention-guided generative adversarial network, to generate multiple poses of a person. We propose to attentively learn and transfer the subject pose through an attention mechanism. A semantic-consistency loss is proposed to preserve the semantic information of the person during pose transfer. To ensure fine image details are realistic after pose translation, an appearance discriminator is used while a pose discriminator is used to ensure the pose of the transferred images will exactly be the same as the target pose. We show that by incorporating the proposed approach in a person re-identification framework, realistic pose transferred images and state-of-the-art re-identification results can be achieved.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 38 of its 58 references that are in the map. First posted on arXiv 28 Apr 2021.

Builds on

38 of 58 references.

References · 38

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26 more
  1. 2017Improving Person Re-identification by Attribute and Identity Learningcited by 96
  2. 2017Pose-driven Deep Convolutional Model for Person Re-identificationcited by 86
  3. 2020XingGAN for Person Image Generationcited by 81
  4. 2017A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Rankingcited by 74
  5. 2017Unsupervised Person Re-identification: Clustering and Fine-tuningcited by 73
  6. 2018FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identificationcited by 71
  7. 2017Pose-Normalized Image Generation for Person Re-identificationcited by 70
  8. 2017Deeply-Learned Part-Aligned Representations for Person Re-Identificationcited by 68
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  10. 2018Multi-Level Factorisation Net for Person Re-Identificationcited by 58
  11. 2017Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identificationcited by 52
  12. 2017Pose Invariant Embedding for Deep Person Re-identificationcited by 47
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  16. 2020Bipartite Graph Reasoning GANs for Person Image Generationcited by 34
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  19. 2016Learning a Discriminative Null Space for Person Re-identificationcited by 24
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  21. 2019Unsupervised Person Re-identification by Deep Asymmetric Metric Embeddingcited by 22
  22. 2019PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identificationcited by 6
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 5; 2025: 1; 2026: 1.

11 papers.

  1. 2024AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identificationcited by 20
  2. 2022Multi-scale Attention Guided Pose Transfercited by 10
  3. 2024Inter-Domain Mixup for Semi-Supervised Domain Adaptationcited by 10
  4. 2024Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generationcited by 5
  5. 2021Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identificationcited by 3
  6. 2023Multi-level feature fusion network combining attention mechanisms for polyp segmentationcited by 2
  7. 2025Multilinear subspace learning for person re-identification based fusion of high order tensor featurescited by 1
  8. 2026DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generationcited by 1
  9. 2023PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identificationcited by 0
  10. 2024CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentationcited by 0
  11. 2024Revisiting the Role of Texture in 3D Person Re-identificationcited by 0