Imagen de Portada

BVI-Mamba: Video Enhancement Using a Visual State-Space Model for Low-Light and Underwater Environments

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Guoxi, Lin, Ruirui, Li, Yini, Bull, David R., Anantrasirichai, Nantheera
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement
por: Anantrasirichai, Nantheera, et al.
Publicado: (2024)

BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement
por: Lin, Ruirui, et al.
Publicado: (2024)

PixIE: Prompted Pixel-Space Low-Light Image Enhancement
por: Lin, Ruirui, et al.
Publicado: (2026)

Dynamic Weight-based Temporal Aggregation for Low-light Video Enhancement Under Extreme Noise
por: Lin, Ruirui, et al.
Publicado: (2025)

ELVIS: Enhance Low-Light for Video Instance Segmentation in the Dark
por: Lin, Joanne, et al.
Publicado: (2025)

A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement
por: Lin, Ruirui, et al.
Publicado: (2024)

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
por: Huang, Guoxi, et al.
Publicado: (2025)

Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video Enhancement
por: Li, Yini, et al.
Publicado: (2025)

Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation
por: Lin, Joanne, et al.
Publicado: (2024)

From Restoration to Reconstruction: Rethinking 3D Gaussian Splatting for Underwater Scenes
por: Huang, Guoxi, et al.
Publicado: (2025)

Unsupervised Methods for Video Quality Improvement: A Survey of Restoration and Enhancement Techniques
por: Malyugina, Alexandra, et al.
Publicado: (2025)

Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline
por: Lin, Joanne, et al.
Publicado: (2025)

Prune Wisely, Reconstruct Sharply: Compact 3D Gaussian Splatting via Adaptive Pruning and Difference-of-Gaussian Primitives
por: Wang, Haoran, et al.
Publicado: (2026)

A Comprehensive Study of Object Tracking in Low-Light Environments
por: Yi, Anqi, et al.
Publicado: (2023)

BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression
por: Gao, Ge, et al.
Publicado: (2024)

Semantic-guided Gaussian Splatting for High-Fidelity Underwater Scene Reconstruction
por: Jiang, Zhuodong, et al.
Publicado: (2025)

UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction
por: Wang, Haoran, et al.
Publicado: (2024)

RUSplatting: Robust 3D Gaussian Splatting for Sparse-View Underwater Scene Reconstruction
por: Jiang, Zhuodong, et al.
Publicado: (2025)

DaBiT: Depth and Blur informed Transformer for Video Focal Deblurring
por: Morris, Crispian, et al.
Publicado: (2024)

Marine Snow Removal Using Internally Generated Pseudo Ground Truth
por: Malyugina, Alexandra, et al.
Publicado: (2025)

Exploring Dynamic Novel View Synthesis Technologies for Cinematography
por: Azzarelli, Adrian, et al.
Publicado: (2024)

WavePlanes: Compact Hex Planes for Dynamic Novel View Synthesis
por: Azzarelli, Adrian, et al.
Publicado: (2023)

Reviewing Intelligent Cinematography: AI research for camera-based video production
por: Azzarelli, Adrian, et al.
Publicado: (2024)

Splatography: Sparse multi-view dynamic Gaussian Splatting for filmmaking challenges
por: Azzarelli, Adrian, et al.
Publicado: (2025)

TempRetinex: Retinex-based Unsupervised Enhancement for Low-light Video Under Diverse Lighting Conditions
por: Li, Yini, et al.
Publicado: (2025)

WaterMamba: Visual State Space Model for Underwater Image Enhancement
por: Guan, Meisheng, et al.
Publicado: (2024)

MAMAT: 3D Mamba-Based Atmospheric Turbulence Removal and its Object Detection Capability
por: Hill, Paul, et al.
Publicado: (2025)

BVI-VFI: A Video Quality Database for Video Frame Interpolation
por: Danier, Duolikun, et al.
Publicado: (2022)

Visual enhancement and 3D representation for underwater scenes: a review
por: Huang, Guoxi, et al.
Publicado: (2025)

BVI-Artefact: An Artefact Detection Benchmark Dataset for Streamed Videos
por: Feng, Chen, et al.
Publicado: (2023)

Deep Learning Techniques for Atmospheric Turbulence Removal: A Review
por: Hill, Paul, et al.
Publicado: (2024)

AquaNeRF: Neural Radiance Fields in Underwater Media with Distractor Removal
por: Gough, Luca, et al.
Publicado: (2025)

Relightable Gaussian Splatting for Virtual Production Using Image-Based Illumination
por: Azzarelli, Adrian, et al.
Publicado: (2026)

PocketDVDNet: Realtime Video Denoising for Real Camera Noise
por: Morris, Crispian, et al.
Publicado: (2026)

RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator
por: Liu, Zhiming, et al.
Publicado: (2025)

DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers
por: Zou, Zhicheng, et al.
Publicado: (2024)

DMAT: An End-to-End Framework for Joint Atmospheric Turbulence Mitigation and Object Detection
por: Hill, Paul, et al.
Publicado: (2025)

Guiding WaveMamba with Frequency Maps for Image Debanding
por: Wang, Xinyi, et al.
Publicado: (2025)

O-Mamba: O-shape State-Space Model for Underwater Image Enhancement
por: Dong, Chenyu, et al.
Publicado: (2024)

PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement
por: Lin, Wei-Tung, et al.
Publicado: (2024)