Image de couverture de livre

DELNet: Continuous All-in-One Weather Removal via Dynamic Expert Library

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Shihong, Zuo, Kun, Xiao, Hanguang
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression
par: Qu, Weikai, et autres
Publié: (2026)

All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations
par: Li, Wenrui, et autres
Publié: (2026)

Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
par: Cheng, De, et autres
Publié: (2024)

Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal
par: Chen, Yu-Wei, et autres
Publié: (2023)

WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
par: Luo, Yulin, et autres
Publié: (2023)

PVRF: All-in-one Adverse Weather Removal via Prior-modulated and Velocity-constrained Rectified Flow
par: Dong, Wei, et autres
Publié: (2026)

Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation
par: Rajagopalan, Sudarshan, et autres
Publié: (2024)

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal
par: Long, Fang, et autres
Publié: (2024)

Exploring Remote Physiological Signal Measurement under Dynamic Lighting Conditions at Night: Dataset, Experiment, and Analysis
par: Li, Zhipeng, et autres
Publié: (2025)

WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration
par: Guan, Qiyuan, et autres
Publié: (2025)

Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
par: Zuo, Ronglai, et autres
Publié: (2022)

M2IR: Proactive All-in-One Image Restoration via Mamba-style Modulation and Mixture-of-Experts
par: Wang, Shiwei, et autres
Publié: (2026)

DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration
par: Xiong, Jiamei, et autres
Publié: (2025)

TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration
par: Wang, Hsing-Hua, et autres
Publié: (2024)

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal
par: Wang, Hanting, et autres
Publié: (2025)

DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization
par: Li, Ao, et autres
Publié: (2026)

Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
par: Wan, Yecong, et autres
Publié: (2025)

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration
par: Wang, Yongzhen, et autres
Publié: (2025)

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
par: He, Haisen, et autres
Publié: (2026)

DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models
par: Qin, Mengxin, et autres
Publié: (2026)

Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration
par: Yu, Xiaoyan, et autres
Publié: (2024)

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts
par: Lee, Eunho, et autres
Publié: (2026)

CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture
par: Frants, Vladimir, et autres
Publié: (2025)

PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration
par: Dong, Zhe, et autres
Publié: (2025)

SLER-IR: Spherical Layer-wise Expert Routing for All-in-One Image Restoration
par: Shurui, Peng, et autres
Publié: (2026)

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
par: Yang, Xiaomeng, et autres
Publié: (2025)

LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
par: Ai, Yuang, et autres
Publié: (2024)

Controllable Weather Synthesis and Removal with Video Diffusion Models
par: Lin, Chih-Hao, et autres
Publié: (2025)

Robust Adverse Weather Removal via Spectral-based Spatial Grouping
par: Jeong, Yuhwan, et autres
Publié: (2025)

Dynamic Degradation Decomposition Network for All-in-One Image Restoration
par: Wang, Huiqiang, et autres
Publié: (2025)

Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration
par: Tang, Xiaole, et autres
Publié: (2026)

Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal
par: Liao, Rongxin, et autres
Publié: (2025)

Boosting All-in-One Image Restoration via Self-Improved Privilege Learning
par: Wu, Gang, et autres
Publié: (2025)

Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping
par: Liu, Wang, et autres
Publié: (2025)

AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration
par: Lu, Yuxu, et autres
Publié: (2024)

AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection
par: Lin, Hongwei, et autres
Publié: (2026)

Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration
par: Xu, Yimin, et autres
Publié: (2024)

CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
par: Liu, Zhenhuan, et autres
Publié: (2024)

One for All: Toward Unified Foundation Models for Earth Vision
par: Xiong, Zhitong, et autres
Publié: (2024)

Physics-Guided VLM Priors for All-Cloud Removal
par: Xu, Liying, et autres
Publié: (2026)