Wave-mamba: Wavelet state space model for ultra-high-definition low-light image enhancement
Ultra-high-definition (UHD) technology has attracted widespread attention due to its
exceptional visual quality, but it also poses new challenges for low-light image …
exceptional visual quality, but it also poses new challenges for low-light image …
MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking
X Liu, L Zhou, Z Zhou, J Chen, Z He - arXiv preprint arXiv:2411.15459, 2024 - arxiv.org
The vision-language tracking task aims to perform object tracking based on various modality
references. Existing Transformer-based vision-language tracking methods have made …
references. Existing Transformer-based vision-language tracking methods have made …
MambaIRv2: Attentive State Space Restoration
The Mamba-based image restoration backbones have recently demonstrated significant
potential in balancing global reception and computational efficiency. However, the inherent …
potential in balancing global reception and computational efficiency. However, the inherent …
Rethinking Model Redundancy for Low-light Image Enhancement
T Li, L Wang, H Feng, L Zhu, W Lu, H Huang - arXiv preprint arXiv …, 2024 - arxiv.org
Low-light image enhancement (LLIE) is a fundamental task in computational photography,
aiming to improve illumination, reduce noise, and enhance the image quality of low-light …
aiming to improve illumination, reduce noise, and enhance the image quality of low-light …
Low-Light Image Enhancement via FourierTMamba: A Hybrid Frequency-Spatial Approach
S Peng, X Zhang, A Jiang, C Liu, J Ye - Proceedings of the 6th ACM …, 2024 - dl.acm.org
Low-light image enhancement in digital imaging field is critical for applications such as
surveillance, mobile photography and autonomous driving. Currently available methods, no …
surveillance, mobile photography and autonomous driving. Currently available methods, no …