Papers with Code 아카이브
Unified Image Restoration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 5
- 보존된 평가 기록
- 5
Using a single model to restore inputs with different degradation types.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Boosting All-in-One Image Restoration via Self-Improved Privilege Learning
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations
Hybrid Agents for Image Restoration
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
Adaptive Blind All-in-One Image Restoration
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration
UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration
Accurate Forgetting for All-in-One Image Restoration Model
HAIR: Hypernetworks-based All-in-One Image Restoration
Restore Anything Model via Efficient Degradation Adaptation
Efficient Degradation-aware Any Image Restoration
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
Unified-Width Adaptive Dynamic Network for All-In-One Image Restoration
Neural Degradation Representation Learning for All-In-One Image Restoration
Controlling Vision-Language Models for Multi-Task Image Restoration
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
PromptIR: Prompting for All-in-One Blind Image Restoration
Generative Diffusion Prior for Unified Image Restoration and Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.