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Flare Removal
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When a camera is pointed at a strong light source, the resulting photograph may contain lens flare artifacts. Flares appear in a wide variety of patterns (halos, streaks, color bleeding, haze, etc.) and this diversity in appearance makes flare removal challenging.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
GN-FR:Generalizable Neural Radiance Fields for Flare Removal
For Overall Nighttime Visibility: Integrate Irregular Glow Removal With Glow-Aware Enhancement
Difflare: Removing Image Lens Flare with Latent Diffusion Model
MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal
MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results
Flare-Free Vision: Empowering Uformer with Depth Insights
Toward Flare-Free Images: A Survey
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
Understanding and Tackling Scattering and Reflective Flare for Mobile Camera Systems
Toward Real Flare Removal: A Comprehensive Pipeline and A New Benchmark
Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
Flare7K: A Phenomenological Nighttime Flare Removal Dataset
Automatic Flare Spot Artifact Detection and Removal in Photographs
How to Train Neural Networks for Flare Removal
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