image restoration
Image restoration is a process within computer vision aimed at recovering a degraded or corrupted image, typically by removing noise or restoring lost details. AI techniques, especially deep learning models, are commonly employed to enhance the quality of images for various applications.
- A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
- Bio-Inspired Image Restoration
- BlurDM: A Blur Diffusion Model for Image Deblurring
- DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
- Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
- Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
- Image Super-Resolution with Guarantees via Conformalized Generative Models
- Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
- Looking Into the Water by Unsupervised Learning of the Surface Shape
- MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
- scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy