Image Processing Comparison Hub
10 papers - avg viability 5.7
Top Papers
- Adaptive Language-Aware Image Reflection Removal Network(8.0)
ALANet removes complex image reflections using language guidance, even with inaccurate language descriptions, and provides a new dataset for evaluation.
- Bilevel Layer-Positioning LoRA for Real Image Dehazing(8.0)
A novel approach to real image dehazing using a bilevel layer-positioning strategy for targeted adaptation.
- UniStitch: Unifying Semantic and Geometric Features for Image Stitching(8.0)
UniStitch unifies semantic and geometric features for superior image stitching performance.
- Spectral-Structured Diffusion for Single-Image Rain Removal(7.0)
SpectralDiff is a novel spectral-structured diffusion framework designed for efficient single-image rain removal.
- Nyxus: A Next Generation Image Feature Extraction Library for the Big Data and AI Era(7.0)
Nyxus is a scalable image feature extraction library designed for efficient processing of large datasets across various biomedical domains.
- Deep Image Prior with L0 Gradient Regularizer for Image Smoothing(5.0)
A new image smoothing tool using deep image prior for enhanced edge preservation without training data.
- UHD Image Deblurring via Autoregressive Flow with Ill-conditioned Constraints(4.0)
A novel autoregressive flow method for efficient UHD image deblurring that balances detail recovery and computational cost.
- CLIP-Guided Unsupervised Semantic-Aware Exposure Correction(4.0)
Unsupervised tool for enhancing image exposure using semantic awareness and CLIP-guided corrections.
- CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer(4.0)
Develop a low-cost, training-free framework for fine-grained style transfer using pretrained diffusion models.
- Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing(2.0)
This paper proposes a taxonomy of structured operators to enhance learning-based image processing beyond traditional convolution.