Search Results for author:
Found 3 papers, 2 papers with code
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
The introduced token dictionary could learn prior information from training data and adapt the learned prior to specific testing image through an adaptive refinement step.
Ranked #1 on
Image Super-Resolution
on Set14
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
The core of MIA-VSR is leveraging feature-level temporal continuity between adjacent frames to reduce redundant computations and make more rational use of previously enhanced SR features.
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling
In this paper, we propose a novel way to interpret text information by extracting visual feature presentation from multiple high-resolution and photo-realistic synthetic images generated by Text-to-image Generative Adversarial Network (GAN) to improve the performance of image labeling.
