Flow-based propagation and spatiotemporal Transformer are two mainstream...
Deep neural networks have achieved remarkable progress in enhancing low-...
When taking images against strong light sources, the resulting images of...
The success of deep neural networks for pan-sharpening is commonly in a ...
Visual restoration of underwater scenes is crucial for visual tasks, and...
In this paper, we present a novel Amplitude-Modulated Stochastic Perturb...
Calibration-based methods have dominated RAW image denoising under extre...
Learning to restore multiple image degradations within a single model is...
Local motion blur commonly occurs in real-world photography due to the m...
Due to the light absorption and scattering induced by the water medium,
...
Artificial lights commonly leave strong lens flare artifacts on the imag...
Developing and integrating advanced image sensors with novel algorithms ...
Rain in the dark is a common natural phenomenon. Photos captured in such...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Low-light image enhancement (LLIE) investigates how to improve illuminat...
Due to the difficulty in collecting large-scale and perfectly aligned pa...
We propose a novel unsupervised backlit image enhancement method, abbrev...
In this paper, orthogonal to the existing data and model studies, we ins...
Image and video restoration has achieved a remarkable leap with the adve...
Reflective flare is a phenomenon that occurs when light reflects inside
...
Ultra-High-Definition (UHD) photo has gradually become the standard
conf...
In this work, we propose a Robust, Efficient, and Component-specific mak...
Artificial lights commonly leave strong lens flare artifacts on images
c...
Existing convolutional neural networks widely adopt spatial down-/up-sam...
Focusing on the issue of how to effectively capture and utilize
cross-mo...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
In this paper, we present a ranking-based underwater image quality asses...
We present Curve Distillation, CuDi, for efficient and controllable expo...
Blind face restoration is a highly ill-posed problem that often requires...
The goal of co-salient object detection (CoSOD) is to discover salient
o...
Night photography typically suffers from both low light and blurring iss...
Ground-penetrating radar (GPR) has been used as a non-destructive tool f...
Object detection in three-dimensional (3D) space attracts much interest ...
Underwater images suffer from color casts and low contrast due to wavele...
Low-light image enhancement (LLIE) aims at improving the perception or
i...
Recent development of Under-Display Camera (UDC) systems provides a true...
This paper presents a novel method, Zero-Reference Deep Curve Estimation...
Despite the remarkable advances in visual saliency analysis for natural ...
Co-Salient Object Detection (CoSOD) aims at discovering salient objects ...
This paper presents a new method, called FlexiCurve, for photo enhanceme...
The diverse spatial resolutions, various object types, scales and
orient...
Image colorization is an essential image processing and computer vision
...
Retinal images have been widely used by clinicians for early diagnosis o...
We present an effective method to progressively integrate and refine the...
The paper presents a novel method, Zero-Reference Deep Curve Estimation
...