Search Results for author: Ruicheng Feng

Found 19 papers, 9 papers with code

Suppressing Model Overfitting for Image Super-Resolution Networks

no code implementations11 Jun 2019 Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong

Large deep networks have demonstrated competitive performance in single image super-resolution (SISR), with a huge volume of data involved.

Image Super-Resolution Memorization

Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network

1 code implementation CVPR 2021 Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu

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 images to be captured from the selfie camera embedded underneath.

Image Restoration

CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment

no code implementations28 Jul 2022 Chongyi Li, Chunle Guo, Ruicheng Feng, Shangchen Zhou, Chen Change Loy

Our method inherits the zero-reference learning and curve-based framework from an effective low-light image enhancement method, Zero-DCE, with further speed up in its inference speed, reduction in its model size, and extension to controllable exposure adjustment.

Low-Light Image Enhancement

Flare7K: A Phenomenological Nighttime Flare Removal Dataset

1 code implementation12 Oct 2022 Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy

In this paper, we introduce, Flare7K, the first nighttime flare removal dataset, which is generated based on the observation and statistics of real-world nighttime lens flares.

Flare Removal

Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

no code implementations23 Feb 2023 Chongyi Li, Chun-Le Guo, Man Zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chen Change Loy

Our approach is motivated by a few unique characteristics in the Fourier domain: 1) most luminance information concentrates on amplitudes while noise is closely related to phases, and 2) a high-resolution image and its low-resolution version share similar amplitude patterns. Through embedding Fourier into our network, the amplitude and phase of a low-light image are separately processed to avoid amplifying noise when enhancing luminance.

Low-Light Image Enhancement Vocal Bursts Intensity Prediction

Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

no code implementations ICCV 2023 Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy

To solve this issue, we devise a prompt learning framework that first learns an initial prompt pair by constraining the text-image similarity between the prompt (negative/positive sample) and the corresponding image (backlit image/well-lit image) in the CLIP latent space.

Image Enhancement Image Manipulation

Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera

1 code implementation CVPR 2023 Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Jinwei Gu, Chen Change Loy

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-based image systems or simulation-based methods, sacrificing the realness of the data and introducing domain gaps.

Image Restoration

MIPI 2023 Challenge on RGBW Remosaic: Methods and Results

no code implementations20 Apr 2023 Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms.

SSIM

MIPI 2023 Challenge on RGBW Fusion: Methods and Results

no code implementations20 Apr 2023 Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms.

SSIM

Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond

1 code implementation7 Jun 2023 Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yihang Luo, Chen Change Loy

To address this issue, we additionally provide the annotations of light sources in Flare7K++ and propose a new end-to-end pipeline to preserve the light source while removing lens flares.

Flare Removal

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