Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration
Despite substantial progress all-in-one image restoration (IR) grapples with persistent
challenges in handling intricate real-world degradations. This paper introduces MPerceiver …
challenges in handling intricate real-world degradations. This paper introduces MPerceiver …
Hybrid attention transformer with re-parameterized large kernel convolution for image super-resolution
Single image super-resolution is a well-established low-level vision task that aims to
reconstruct high-resolution images from low-resolution images. Methods based on …
reconstruct high-resolution images from low-resolution images. Methods based on …
Learning enriched features via selective state spaces model for efficient image deblurring
H Gao, B Ma, Y Zhang, J Yang, J Yang… - Proceedings of the 32nd …, 2024 - dl.acm.org
Image deblurring aims to restore a high-quality image from its corresponding blurred. The
emergence of CNNs and Transformers has enabled significant progress. However, these …
emergence of CNNs and Transformers has enabled significant progress. However, these …
Aggregating local and global features via selective state spaces model for efficient image deblurring
H Gao, D Dang - arxiv preprint arxiv:2403.20106, 2024 - arxiv.org
Image deblurring is a process of restoring a high quality image from the corresponding
blurred image. Significant progress in this field has been made possible by the emergence …
blurred image. Significant progress in this field has been made possible by the emergence …
Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution
Recent progress in remote sensing image (RSI) super-resolution (SR) has exhibited
remarkable performance using deep neural networks, eg, Convolutional Neural Networks …
remarkable performance using deep neural networks, eg, Convolutional Neural Networks …
Exploring Richer and More Accurate Information via Frequency Selection for Image Restoration
H Gao, D Dang - IEEE Transactions on Circuits and Systems …, 2024 - ieeexplore.ieee.org
Image restoration aims to recover high-quality images from their corrupted counterparts.
Many existing methods focus on the spatial domain while overlooking frequency variations …
Many existing methods focus on the spatial domain while overlooking frequency variations …
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer
Abstract Unsupervised Domain Adaptation (UDA) can effectively address domain gap
issues in real-world image Super-Resolution (SR) by accessing both the source and target …
issues in real-world image Super-Resolution (SR) by accessing both the source and target …
Dynamic Graph Memory Bank for Video Inpainting
A major challenge of the video inpainting task is aggregating spatial and temporal
information in the corrupted video effectively. In this paper, we propose a dynamic graph …
information in the corrupted video effectively. In this paper, we propose a dynamic graph …
Semantic-Aware Fusion Network Based on Super-Resolution
L Xu, Q Zou - Sensors, 2024 - mdpi.com
The aim of infrared and visible image fusion is to generate a fused image that not only
contains salient targets and rich texture details, but also facilitates high-level vision tasks …
contains salient targets and rich texture details, but also facilitates high-level vision tasks …
[HTML][HTML] Single Image Super-Resolution via Wide-Activation Feature Distillation Network
Z Su, Y Wang, X Ma, M Sun, D Cheng, C Li, H Jiang - Sensors, 2024 - mdpi.com
Feature extraction plays a pivotal role in the context of single image super-resolution.
Nonetheless, relying on a single feature extraction method often undermines the full …
Nonetheless, relying on a single feature extraction method often undermines the full …