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09/08/2023
Revealing the preference for correcting separated aberrations in joint optic-image design
The joint design of the optical system and the downstream algorithm is a...
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06/28/2023
Toward Real Flare Removal: A Comprehensive Pipeline and A New Benchmark
Photographing in the under-illuminated scenes, the presence of complex l...
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06/28/2023
Let Segment Anything Help Image Dehaze
The large language model and high-level vision model have achieved impre...
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06/25/2023
Adaptive Window Pruning for Efficient Local Motion Deblurring
Local motion blur commonly occurs in real-world photography due to the m...
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05/10/2023
Computational Optics for Mobile Terminals in Mass Production
Correcting the optical aberrations and the manufacturing deviations of c...
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05/10/2023
Optical Aberration Correction in Postprocessing using Imaging Simulation
As the popularity of mobile photography continues to grow, considerable ...
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03/16/2023
Reliable Image Dehazing by NeRF
We present an image dehazing algorithm with high quality, wide applicati...
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04/18/2022
Real-world Deep Local Motion Deblurring
Most existing deblurring methods focus on removing global blur caused by...
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08/23/2021
Towards Balanced Learning for Instance Recognition
Instance recognition is rapidly advanced along with the developments of ...
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06/24/2021
Class agnostic moving target detection by color and location prediction of moving area
Moving target detection plays an important role in computer vision. Howe...
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04/30/2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Single image super-resolution (SISR) aims to reconstruct high-resolution...
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07/01/2020
Low-light Image Restoration with Short- and Long-exposure Raw Pairs
Low-light imaging with handheld mobile devices is a challenging issue. L...
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02/24/2020
Beyond Camera Motion Removing: How to Handle Outliers in Deblurring
Performing camera motion deblurring is an important low-level vision tas...
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01/28/2020
Spatial-Adaptive Network for Single Image Denoising
Previous works have shown that convolutional neural networks can achieve...
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04/04/2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Compared with model architectures, the training process, which is also c...
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02/16/2019