61 citations · 130 across the 12 of their papers we have counts for
12 papers
Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution
Manchang Jin, Gaosheng Liu, Kunshu Hu +3
Recent learning-based approaches have achieved significant progress in light field (LF) image super-resolution (SR) by exploring convolution-based or transformer-based network stru…
ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution
Sheng Shen, Huanjing Yue, Jingyu Yang +1
Nowadays, online screen sharing and remote cooperation are becoming ubiquitous. However, the screen content may be downsampled and compressed during transmission, while it may be d…
FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
Qiao Feng, Yebin Liu, Yu-Kun Lai +2
The advent of deep learning has led to significant progress in monocular human reconstruction. However, existing representations, such as parametric models, voxel grids, meshes and…
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Jingyu Yang, Sheng Shen, Huanjing Yue +1
Nowadays, there is an explosive growth of screen contents due to the wide application of screen sharing, remote cooperation, and online education. To match the limited terminal ban…
PISE: Person Image Synthesis and Editing with Decoupled GAN
Jinsong Zhang, Kun Li, Yu-Kun Lai +1
Person image synthesis, e.g., pose transfer, is a challenging problem due to large variation and occlusion. Existing methods have difficulties predicting reasonable invisible regio…
PoNA: Pose-guided Non-local Attention for Human Pose Transfer
Kun Li, Jinsong Zhang, Yebin Liu +2
Human pose transfer, which aims at transferring the appearance of a given person to a target pose, is very challenging and important in many applications. Previous work ignores the…