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Found 18 papers, 8 papers with code
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
In this paper, we summarize and review the Nighttime Flare Removal track on MIPI 2023.
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results
To evaluate the performance of different depth completion methods, we organized an RGB+sparse ToF depth completion competition.
MIPI 2023 Challenge on RGBW Remosaic: Methods and Results
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.
MIPI 2023 Challenge on RGBW Fusion: Methods and Results
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.
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
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.
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
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.
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
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
Flare7K: A Phenomenological Nighttime Flare Removal Dataset
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.
Ranked #1 on
Flare Removal
on Flare7K
MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report
A detailed description of all models developed in this challenge is provided in this paper.
MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report
A detailed description of all models developed in this challenge is provided in this paper.
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results
In this paper, we summarize and review the Under-Display Camera (UDC) Image Restoration track on MIPI 2022.
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
A detailed description of all models developed in this challenge is provided in this paper.
MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report
A detailed description of all models developed in this challenge is provided in this paper.
CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
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.
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
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.
Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution
Multi-scale techniques have achieved great success in a wide range of computer vision tasks.
Suppressing Model Overfitting for Image Super-Resolution Networks
Large deep networks have demonstrated competitive performance in single image super-resolution (SISR), with a huge volume of data involved.
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones.
