Abstract:
Pose Guided Person Image Generation (PGPIG) is the task of transforming a person's image from the source pose to a target pose. Existing PGPIG methods often tend to learn...Show MoreMetadata
Abstract:
Pose Guided Person Image Generation (PGPIG) is the task of transforming a person's image from the source pose to a target pose. Existing PGPIG methods often tend to learn an end-to-end transformation between the source image and the target image, but do not seriously consider two issues: 1) the PGPIG is an ill-posed problem, and 2) the texture mapping requires effective supervision. In order to alleviate these two challenges, we propose a novel method by incorporating Dual-task Pose Transformer Network and Texture Affinity learning mechanism (DPTN-TA). To assist the ill-posed source-to-target task learning, DPTN-TA introduces an auxiliary task, i.e., source-to-source task, by a Siamese structure and further explores the dual-task correlation. Specifically, the correlation is built by the proposed Pose Transformer Module (PTM), which can adaptively capture the fine-grained mapping between sources and targets and can promote the source texture transmission to enhance the details of the generated images. Moreover, we propose a novel texture affinity loss to better supervise the learning of texture mapping. In this way, the network is able to learn complex spatial transformations effectively. Extensive experiments show that our DPTN-TA can produce perceptually realistic person images under significant pose changes. Furthermore, our DPTN-TA is not limited to processing human bodies but can be flexibly extended to view synthesis of other objects, i.e., faces and chairs, outperforming the state-of-the-arts in terms of both LPIPS and FID. Our code is available at: https://github.com/PangzeCheung/Dual-task-Pose-Transformer-Network.
Published in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 30, Issue: 8, August 2024)
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- IEEE Keywords
- Index Terms
- Image Generation ,
- Person Image ,
- Affinity Learning ,
- Person Image Generation ,
- Target Image ,
- Learning Mechanisms ,
- Source Images ,
- Auxiliary Task ,
- Texture Map ,
- Fréchet Inception Distance ,
- View Synthesis ,
- Target Pose ,
- Convolutional Neural Network ,
- Results In Table ,
- Attention Mechanism ,
- Image Object ,
- Results In Fig ,
- Peak Signal-to-noise Ratio ,
- Optical Flow ,
- Mean Average Precision ,
- Dual Task ,
- Structural Similarity Index Measure ,
- 2nd Row ,
- Softmax Operation ,
- Target View ,
- Affinity Matrix ,
- Affine Function ,
- Complex Deformation ,
- Human Pose ,
- Gram Matrix
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Image Generation ,
- Person Image ,
- Affinity Learning ,
- Person Image Generation ,
- Target Image ,
- Learning Mechanisms ,
- Source Images ,
- Auxiliary Task ,
- Texture Map ,
- Fréchet Inception Distance ,
- View Synthesis ,
- Target Pose ,
- Convolutional Neural Network ,
- Results In Table ,
- Attention Mechanism ,
- Image Object ,
- Results In Fig ,
- Peak Signal-to-noise Ratio ,
- Optical Flow ,
- Mean Average Precision ,
- Dual Task ,
- Structural Similarity Index Measure ,
- 2nd Row ,
- Softmax Operation ,
- Target View ,
- Affinity Matrix ,
- Affine Function ,
- Complex Deformation ,
- Human Pose ,
- Gram Matrix
- Author Keywords