1 code implementation • 16 Jul 2023 • Liyuan Ma, Hongxia Wang, Ningyi Leng, Ziyang Yuan
FPR with few measurements is important for reducing time and hardware costs, but it suffers from serious ill-posedness.
no code implementations • ICCV 2023 • Liyuan Ma, Tingwei Gao, Haitian Jiang, Haibin Shen, Kejie Huang
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.
no code implementations • 23 Oct 2022 • Liyuan Ma, Hongxia Wang, Ningyi Leng, Ziyang Yuan
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.
no code implementations • 1 Dec 2021 • Liyuan Ma, Kejie Huang, Dongxu Wei, Zhaoyan Ming, Haibin Shen
Human pose transfer aims at transferring the appearance of the source person to the target pose.
no code implementations • 1 Dec 2021 • Liyuan Ma, Kejie Huang, Dongxu Wei, Haibin Shen
In this paper, we focus on person image generation, namely, generating person image under various conditions, e. g., corrupted texture or different pose.