Cover Image

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Haisen, Zou, Xiangyu, Dong, SongLin, Li, Heng, Gong, Yihong, Ma, Zhiheng
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation
by: Han, Jizhou, et al.
Published: (2025)

LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2024)

Trajectory-Diversity-Driven Robust Vision-and-Language Navigation
by: Li, Jiangyang, et al.
Published: (2026)

GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery
by: Han, Jizhou, et al.
Published: (2026)

ReMoT: Reinforcement Learning with Motion Contrast Triplets
by: Wan, Cong, et al.
Published: (2026)

Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs
by: Zhao, Jianchao, et al.
Published: (2026)

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
by: Wang, Qiang, et al.
Published: (2025)

Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models
by: Yang, Huoren, et al.
Published: (2026)

VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection
by: Wang, Qiang, et al.
Published: (2025)

Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery
by: Han, Jizhou, et al.
Published: (2026)

Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
by: Liu, Haoyun, et al.
Published: (2026)

Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
by: Han, Jizhou, et al.
Published: (2025)

Degradation-Aware Feature Perturbation for All-in-One Image Restoration
by: Tian, Xiangpeng, et al.
Published: (2025)

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
by: Chen, Qian, et al.
Published: (2024)

SLER-IR: Spherical Layer-wise Expert Routing for All-in-One Image Restoration
by: Shurui, Peng, et al.
Published: (2026)

Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration
by: Tang, Xiaole, et al.
Published: (2026)

UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
by: Zhang, Cheng, et al.
Published: (2024)

PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration
by: Dong, Zhe, et al.
Published: (2025)

Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration
by: Yu, Xiaoyan, et al.
Published: (2024)

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration
by: Wang, Yongzhen, et al.
Published: (2025)

Dynamic Degradation Decomposition Network for All-in-One Image Restoration
by: Wang, Huiqiang, et al.
Published: (2025)

All-in-One Image Compression and Restoration
by: Zeng, Huimin, et al.
Published: (2025)

Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
by: Tang, Xiaole, et al.
Published: (2024)

AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
by: Mao, Jiawei, et al.
Published: (2024)

FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration
by: Liu, Jingren, et al.
Published: (2025)

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration
by: Qin, Chu-Jie, et al.
Published: (2024)

RPIQ: Residual-Projected Multi-Collaboration Closed-Loop and Single Instance Quantization for Visually Impaired Assistance
by: Wang, Xuanyu, et al.
Published: (2026)

Adaptive Blind All-in-One Image Restoration
by: Serrano-Lozano, David, et al.
Published: (2024)

InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
by: Xiang, Qiang, et al.
Published: (2025)

One Latent Space to Rule All Degradations: Unifying Restoration Knowledge for Image Fusion
by: Ma, Haolong, et al.
Published: (2025)

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
by: Rajagopalan, Sudarshan, et al.
Published: (2025)

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration
by: Tang, Xiaole, et al.
Published: (2025)

TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration
by: Wang, Hsing-Hua, et al.
Published: (2024)

ClusIR: Towards Cluster-Guided All-in-One Image Restoration
by: Hu, Shengkai, et al.
Published: (2025)

Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation
by: Zhao, JianChao, et al.
Published: (2025)

HAIR: Hypernetworks-based All-in-One Image Restoration
by: Cao, Jin, et al.
Published: (2024)

Accurate Forgetting for All-in-One Image Restoration Model
by: Su, Xin, et al.
Published: (2024)

M2IR: Proactive All-in-One Image Restoration via Mamba-style Modulation and Mixture-of-Experts
by: Wang, Shiwei, et al.
Published: (2026)

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts
by: Lee, Eunho, et al.
Published: (2026)

From Physical Degradation Models to Task-Aware All-in-One Image Restoration
by: Gao, Hu, et al.
Published: (2026)