44 citations · 116 across the 21 of their papers we have counts for
16 papers · 1 filter
Kalman-Inspired Feature Propagation for Video Face Super-Resolution
Ruicheng Feng, Chongyi Li, Chen Change Loy
Despite the promising progress of face image super-resolution, video face super-resolution remains relatively under-explored. Existing approaches either adapt general video super-r…
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
Xin Jin, Chunle Guo, Xiaoming Li +39
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results
Yuekun Dai, Dafeng Zhang, Xiaoming Li +60
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…
Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
Yuekun Dai, Chongyi Li, Shangchen Zhou +3
Artificial lights commonly leave strong lens flare artifacts on the images captured at night, degrading both the visual quality and performance of vision algorithms. Existing flare…
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
Yuekun Dai, Chongyi Li, Shangchen Zhou +6
Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results
Qingpeng Zhu, Wenxiu Sun, Yuekun Dai +20
Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completio…
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
Ruicheng Feng, Chongyi Li, Huaijin Chen +3
Due to the difficulty in collecting large-scale and perfectly aligned paired training data for Under-Display Camera (UDC) image restoration, previous methods resort to monitor-base…
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Zhexin Liang, Chongyi Li, Shangchen Zhou +2
We propose a novel unsupervised backlit image enhancement method, abbreviated as CLIP-LIT, by exploring the potential of Contrastive Language-Image Pre-Training (CLIP) for pixel-le…
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
Chongyi Li, Chun-Le Guo, Man Zhou +4
Ultra-High-Definition (UHD) photo has gradually become the standard configuration in advanced imaging devices. The new standard unveils many issues in existing approaches for low-l…
Flare7K: A Phenomenological Nighttime Flare Removal Dataset
Yuekun Dai, Chongyi Li, Shangchen Zhou +2
Artificial lights commonly leave strong lens flare artifacts on images captured at night. Nighttime flare not only affects the visual quality but also degrades the performance of v…
MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report
Qingyu Yang, Guang Yang, Jun Jiang +7
Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
Wenxiu Sun, Qingpeng Zhu, Chongyi Li +6
Developing and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobil…
CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
Chongyi Li, Chunle Guo, Ruicheng Feng +2
We present Curve Distillation, CuDi, for efficient and controllable exposure adjustment without the requirement of paired or unpaired data during training. Our method inherits the…
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
Ruicheng Feng, Chongyi Li, Huaijin Chen +3
Recent development of Under-Display Camera (UDC) systems provides a true bezel-less and notch-free viewing experience on smartphones (and TV, laptops, tablets), while allowing imag…
Suppressing Model Overfitting for Image Super-Resolution Networks
Ruicheng Feng, Jinjin Gu, Yu Qiao +1
Large deep networks have demonstrated competitive performance in single image super-resolution (SISR), with a huge volume of data involved. However, in real-world scenarios, due to…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…