Image de couverture de livre

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Long, Fang, Su, Wenkang, Li, Zixuan, Cai, Lei, Li, Mingjie, Wang, Yuan-Gen, Cao, Xiaochun
Format:	Preprint
Publié:	2024
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)

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

Restoring Images in Adverse Weather Conditions via Histogram Transformer
par: Sun, Shangquan, et autres
Publié: (2024)

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

Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares
par: Zhu, Xiyu, et autres
Publié: (2026)

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
par: Yao, Siyuan, et autres
Publié: (2025)

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

AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions
par: Qian, Chenghao, et autres
Publié: (2024)

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

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

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal
par: Wang, Hanting, 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)

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

Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
par: Yang, Yijun, et autres
Publié: (2024)

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

WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting
par: Qian, Chenghao, et autres
Publié: (2024)

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

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
par: Gella, Blake, et autres
Publié: (2024)

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

LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
par: Park, Ji-il, et autres
Publié: (2026)

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

RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
par: Wang, Yun, et autres
Publié: (2025)

Multi-Echo Denoising in Adverse Weather
par: Seppänen, Alvari, et autres
Publié: (2023)

Enhancing Vehicle Detection under Adverse Weather Conditions with Contrastive Learning
par: Li, Boying, et autres
Publié: (2025)

CLIPVQA:Video Quality Assessment via CLIP
par: Xing, Fengchuang, et autres
Publié: (2024)

Semi-LLIE: Semi-supervised Contrastive Learning with Mamba-based Low-light Image Enhancement
par: Li, Guanlin, et autres
Publié: (2024)

Unifying Physically-Informed Weather Priors in A Single Model for Image Restoration Across Multiple Adverse Weather Conditions
par: Xu, Jiaqi, et autres
Publié: (2026)

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
par: Yang, Xin, et autres
Publié: (2024)

WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
par: Wang, Jiyuan, et autres
Publié: (2023)

DELNet: Continuous All-in-One Weather Removal via Dynamic Expert Library
par: Liu, Shihong, et autres
Publié: (2026)

WeatherCycle: Unpaired Multi-Weather Restoration via Color Space Decoupled Cycle Learning
par: Fang, Wenxuan, et autres
Publié: (2025)

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
par: Cao, Luyang, et autres
Publié: (2025)

When Color-Space Decoupling Meets Diffusion for Adverse-Weather Image Restoration
par: Fang, Wenxuan, et autres
Publié: (2025)

Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection
par: Li, Jiajia, et autres
Publié: (2024)

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
par: Zhang, Ye, et autres
Publié: (2024)

CGMatch: A Different Perspective of Semi-supervised Learning
par: Cheng, Bo, et autres
Publié: (2025)

A Two-Stage Adverse Weather Semantic Segmentation Method for WeatherProof Challenge CVPR 2024 Workshop UG2+
par: Wang, Jianzhao, et autres
Publié: (2024)

Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
par: Yang, Mingzhao, et autres
Publié: (2023)

SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
par: Li, Kaiyu, et autres
Publié: (2024)

WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
par: Wen, Jiahao, et autres
Publié: (2025)