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Found 5 papers, 1 papers with code
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer
Human pose transfer aims at transferring the appearance of the source person to the target pose.
GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation
In this paper, we focus on person image generation, namely, generating person image under various conditions, e. g., corrupted texture or different pose.
ADMM based Fourier phase retrieval with untrained generative prior
Then an untrained generative network is embedded in the iterative process of ADMM to project an estimated signal into the generative space, and the projected signal is applied to next iteration of ADMM.
WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer
To leverage the advantages of both attention and flow simultaneously, we propose Wavelet-aware Image-based Pose Transfer (WaveIPT) to fuse the attention and flow in the wavelet domain.
Untrained neural network embedded Fourier phase retrieval from few measurements
FPR with few measurements is important for reducing time and hardware costs, but it suffers from serious ill-posedness.
