Multi-Granularity Aggregation Transformer for Light Field Image Super-Resolution

Author:

Wang Zijian1,Lu Yao1

Affiliation:

1. Beijing Institute of Technology,School of Computer Science and Technology,China

Funder

Research and Development

Publisher

IEEE

Reference26 articles.

1. Exploring Cross-Image Pixel Contrast for Semantic Segmentation

2. MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation

3. Contextual transformation network for lightweight remote-sensing image super-resolution;wang;IEEE TGRS,2021

4. Group-wise learning for weakly supervised semantic segmentation;zhou;IEEE TIP,2021

5. Motion-Attentive Transition for Zero-Shot Video Object Segmentation

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1. A survey for light field super-resolution;High-Confidence Computing;2024-03

2. Lightweight network with masks for light field image super-resolution based on swin attention;Multimedia Tools and Applications;2024-02-29

3. Light Field Image Super-Resolution via Global-View Information Adaption and Angular Attention Fusion;Communications in Computer and Information Science;2023-11-27

4. Optical flow-assisted multi-level fusion network for Light Field image angular reconstruction;Signal Processing: Image Communication;2023-11

5. NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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