research-article

Pose with style: detail-preserving pose-guided image synthesis with conditional StyleGAN

Authors:

Badour Albahar,

Jia-Bin HuangAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 40, Issue 6

Article No.: 218, Pages 1 - 11

https://doi.org/10.1145/3478513.3480559

Published: 10 December 2021 Publication History

Abstract

We present an algorithm for re-rendering a person from a single image under arbitrary poses. Existing methods often have difficulties in hallucinating occluded contents photo-realistically while preserving the identity and fine details in the source image. We first learn to inpaint the correspondence field between the body surface texture and the source image with a human body symmetry prior. The inpainted correspondence field allows us to transfer/warp local features extracted from the source to the target view even under large pose changes. Directly mapping the warped local features to an RGB image using a simple CNN decoder often leads to visible artifacts. Thus, we extend the StyleGAN generator so that it takes pose as input (for controlling poses) and introduces a spatially varying modulation for the latent space using the warped local features (for controlling appearances). We show that our method compares favorably against the state-of-the-art algorithms in both quantitative evaluation and visual comparison.

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Cited By

Wu YZhang H(2024)Arbitrary style transformation algorithm based on multi-scale fusion and compressed attention in art and designIntelligent Decision Technologies10.3233/IDT-23078818:3(2213-2225)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.3233/IDT-230788
Mallek FVázquez CPaquette E(2024)Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanProceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games10.1145/3677388.3696328(1-11)Online publication date: 21-Nov-2024
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Index Terms

Pose with style: detail-preserving pose-guided image synthesis with conditional StyleGAN
1. Computing methodologies

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 40, Issue 6

December 2021

1351 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3478513

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Published: 10 December 2021

Published in TOG Volume 40, Issue 6

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Cited By

Wu YZhang H(2024)Arbitrary style transformation algorithm based on multi-scale fusion and compressed attention in art and designIntelligent Decision Technologies10.3233/IDT-23078818:3(2213-2225)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.3233/IDT-230788
Mallek FVázquez CPaquette E(2024)Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanProceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games10.1145/3677388.3696328(1-11)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3677388.3696328
Jia ZZhang ZWang LTan T(2024)Human Image Generation: A Comprehensive SurveyACM Computing Surveys10.1145/366586956:11(1-39)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3665869
Gu XZhu JWong YWu ZYu JFan JKankanhalli M(2024)Recurrent Appearance Flow for Occlusion-Free Virtual Try-OnACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365958120:8(1-17)Online publication date: 12-Jun-2024
https://dl.acm.org/doi/10.1145/3659581
Liao FZou XWong W(2024)Appearance and Pose-guided Human Generation: A SurveyACM Computing Surveys10.1145/363706056:5(1-35)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3637060
Okuyama YEndo YKanamori Y(2024)DiffBody: Diffusion-based Pose and Shape Editing of Human Images2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00621(6321-6330)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00621
Zhang PYang LXie XLai J(2024)Pose Guided Person Image Generation Via Dual-Task Correlation and Affinity LearningIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328639430:8(5111-5128)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3286394
Maximov MMeinhardt TPapakipos ZHazirbas CCanton CLeal-Taixé L(2024)Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)10.1109/FG59268.2024.10581949(1-10)Online publication date: 27-May-2024
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Yang XDing CHong ZHuang JTao JXu X(2024)Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00670(7017-7026)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.00670
Le EKakolvris AKoutras PTam HSkordos EPapandreou GGüler RKokkinos I(2024)MeshPose: Unifying DensePose and 3D Body Mesh reconstruction2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00233(2405-2414)Online publication date: 16-Jun-2024
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