mlsanityData to 7 Oct 2026

Progressive and Aligned Pose Attention Transfer for Person Image Generation

arXiv 2103.11622 ↗First posted 22 Mar 2021cs.CVcited by 7

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Abstract (arXiv)

This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. We design a progressive generator which comprises a sequence of transfer blocks. Each block performs an intermediate transfer step by modeling the relationship between the condition and the target poses with attention mechanism. Two types of blocks are introduced, namely Pose-Attentional Transfer Block (PATB) and Aligned Pose-Attentional Transfer Bloc ~(APATB). Compared with previous works, our model generates more photorealistic person images that retain better appearance consistency and shape consistency compared with input images. We verify the efficacy of the model on the Market-1501 and DeepFashion datasets, using quantitative and qualitative measures. Furthermore, we show that our method can be used for data augmentation for the person re-identification task, alleviating the issue of data insufficiency. Code and pretrained models are available at https://github.com/tengteng95/Pose-Transfer.git.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 54 of its 75 references that are in the map. First posted on arXiv 22 Mar 2021.

Builds on

54 of 75 references.

References · 54

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  4. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  5. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  6. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  7. 2013Auto-Encoding Variational Bayescited by 3,980
  8. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  9. 2016Improved Techniques for Training GANscited by 2,938
  10. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  11. 2014Conditional Generative Adversarial Netscited by 2,152
  12. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
38 more
  1. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,898
  2. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
  3. 2016Instance Normalization: The Missing Ingredient for Fast Stylizationcited by 1,187
  4. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,176
  5. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
  6. 2018Self-Attention Generative Adversarial Networkscited by 809
  7. 2018CCNet: Criss-Cross Attention for Semantic Segmentationcited by 717
  8. 2020First Order Motion Model for Image Animationcited by 698
  9. 2018Free-Form Image Inpainting with Gated Convolutioncited by 594
  10. 2018DensePose: Dense Human Pose Estimation In The Wildcited by 573
  11. 2016Conditional Image Synthesis With Auxiliary Classifier GANscited by 562
  12. 2020Circle Loss: A Unified Perspective of Pair Similarity Optimizationcited by 402
  13. 2018Video-to-Video Synthesiscited by 388
  14. 2018Everybody Dance Nowcited by 313
  15. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  16. 2017Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitrocited by 280
  17. 2017Pose Guided Person Image Generationcited by 251
  18. 2018Animating Arbitrary Objects via Deep Motion Transfercited by 206
  19. 2019Asymmetric Non-local Neural Networks for Semantic Segmentationcited by 196
  20. 2019Few-shot Video-to-Video Synthesiscited by 196
  21. 2018Toward Characteristic-Preserving Image-based Virtual Try-On Networkcited by 192
  22. 2016Person Re-identification: Past, Present and Futurecited by 180
  23. 2017Deformable GANs for Pose-based Human Image Generationcited by 166
  24. 2019Progressive Pose Attention Transfer for Person Image Generationcited by 138
  25. 2018A Variational U-Net for Conditional Appearance and Shape Generationcited by 124
  26. 2019Dense Intrinsic Appearance Flow for Human Pose Transfercited by 104
  27. 2019RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignmentcited by 102
  28. 2017Disentangled Person Image Generationcited by 98
  29. 2018Synthesizing Images of Humans in Unseen Posescited by 96
  30. 2019Towards Multi-pose Guided Virtual Try-on Networkcited by 95
  31. 2017The Pose Knows: Video Forecasting by Generating Pose Futurescited by 88
  32. 2018Dense Pose Transfercited by 83
  33. 2020XingGAN for Person Image Generationcited by 81
  34. 2018Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesiscited by 59
  35. 2018Unsupervised Person Image Synthesis in Arbitrary Posescited by 55
  36. 2018Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistencycited by 41
  37. 2017A Generative Model of People in Clothingcited by 37
  38. 2019Unsupervised Person Image Generation with Semantic Parsing Transformationcited by 32

50 most cited of 54 All 54 (JSON)

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Cited by year

Citing papers per year: 2022: 3; 2023: 2; 2024: 1; 2025: 1.

7 papers.

  1. 2023Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Modelscited by 104
  2. 2022QSAN: A Near-term Achievable Quantum Self-Attention Networkcited by 25
  3. 2025Training-free Geometric Image Editing on Diffusion Modelscited by 13
  4. 2022Human Image Generation: A Comprehensive Surveycited by 11
  5. 2023VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesiscited by 8
  6. 2022Deep Learning and Synthetic Mediacited by 1
  7. 2024Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencodercited by 1