Papers with Code 아카이브
Dehazing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Forward-only Diffusion Probabilistic Models
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
A Preliminary Study for GPT-4o on Image Restoration
WDMamba: When Wavelet Degradation Prior Meets Vision Mamba for Image Dehazing
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
Real-World Remote Sensing Image Dehazing: Benchmark and Baseline
ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
DehazeMamba: SAR-guided Optical Remote Sensing Image Dehazing with Adaptive State Space Model
Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing
Feature Fusion Attention Network with CycleGAN for Image Dehazing, De-Snowing and De-Raining
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing
CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIP
EENet: Frequency-Aware and Spatially Multiscale Network for Single Image Dehazing
UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
Guided Real Image Dehazing using YCbCr Color Space
Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
Distilled Pooling Transformer Encoder for Efficient Realistic Image Dehazing
Towards Context-aware Convolutional Network for Image Restoration
Deep Variational Bayesian Modeling of Haze Degradation Process
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration
A Polarization Image Dehazing Method Based on the Principle of Physical Diffusion
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration
YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
Interaction-Guided Two-Branch Image Dehazing Network
WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning
HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.