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State of Image Processing | Report | ScienceToStartup
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Image Processing
State of Image Processing
15 papers · avg viability 6.0
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Fast Segment Anything Model
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Top papers
SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras
(9.0)
UniStitch: Unifying Semantic and Geometric Features for Image Stitching
(8.0)
Adaptive Language-Aware Image Reflection Removal Network
(8.0)
Bilevel Layer-Positioning LoRA for Real Image Dehazing
(8.0)
Unified Removal of Raindrops and Reflections: A New Benchmark and A Novel Pipeline
(7.0)
Learning Latent Proxies for Controllable Single-Image Relighting
(7.0)
Nyxus: A Next Generation Image Feature Extraction Library for the Big Data and AI Era
(7.0)
Spectral-Structured Diffusion for Single-Image Rain Removal
(7.0)
RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution
(6.0)
Deep Image Prior with L0 Gradient Regularizer for Image Smoothing
(5.0)
UHD Image Deblurring via Autoregressive Flow with Ill-conditioned Constraints
(4.0)
PAKAN: Pixel Adaptive Kolmogorov-Arnold Network Modules for Pansharpening
(4.0)
CLIP-Guided Unsupervised Semantic-Aware Exposure Correction
(4.0)
CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer
(4.0)
Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing
(2.0)
