Pose Transfer
41 papers with code • 6 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Pose Transfer
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ADE20K
Market-1501
DeepFashion
CelebAMask-HQ
iDesigner
Most implemented papers
Neural Pose Transfer by Spatially Adaptive Instance Normalization
jiashunwang/Neural-Pose-Transfer
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CVPR 2020
Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh.
Region-adaptive Texture Enhancement for Detailed Person Image Synthesis
Lotayou/RATE
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The ability to produce convincing textural details is essential for the fidelity of synthesized person images.
Unsupervised Shape and Pose Disentanglement for 3D Meshes
kzhou23/shape_pose_disent
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ECCV 2020
The experiments on datasets of 3D humans, faces, hands and animals demonstrate the generality of our approach.
Bipartite Graph Reasoning GANs for Person Image Generation
We present a novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the challenging person image generation task.
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
TianxiangMa/MUST-GAN
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CVPR 2021
To deal with this problem, we propose a novel multi-level statistics transfer model, which disentangles and transfers multi-level appearance features from person images and merges them with pose features to reconstruct the source person images themselves.
Human Pose Transfer by Adaptive Hierarchical Deformation
Existing methods cannot effectively utilize the input information, which often fail to preserve the style and shape of hair and clothes.
PoNA: Pose-guided Non-local Attention for Human Pose Transfer
Zhangjinso/PoNA
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In each block, we propose a pose-guided non-local attention (PoNA) mechanism with a long-range dependency scheme to select more important regions of image features to transfer.
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision
google-research/google-research
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CVPR 2022
We propose a novel algorithm that utilizes a weak form of supervision where the data is partitioned into sets according to certain inactive (common) factors of variation which are invariant across elements of each set.
PISE: Person Image Synthesis and Editing with Decoupled GAN
The results of qualitative and quantitative experiments demonstrate the superiority of our model on human pose transfer.
Progressive and Aligned Pose Attention Transfer for Person Image Generation
This paper proposes a new generative adversarial network for pose transfer, i. e., transferring the pose of a given person to a target pose.
