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Found 9 papers, 4 papers with code
Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing
Apart from previous codebook-based methods that rely on one-shot decoding, our method utilizes high-quality codes obtained in the previous iteration to guide the prediction of the Code-Predictor in the subsequent iteration, improving code prediction accuracy and ensuring stable dehazing performance.
FaceMe: Robust Blind Face Restoration with Personal Identification
In this paper, we propose a personalized face restoration method, FaceMe, based on a diffusion model.
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
We estimate the range-wise ensemble weights on a reference set and store them in a lookup table (LUT) for efficient ensemble inference on the test set.
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
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 algorithms in camera systems.
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results.
Deep Video Restoration for Under-Display Camera
With the pipeline, we build the first large-scale UDC video restoration dataset called PexelsUDC, which includes two subsets named PexelsUDC-T and PexelsUDC-P corresponding to different displays for UDC.
BatMobility: Towards Flying Without Seeing for Autonomous Drones
Unmanned aerial vehicles (UAVs) rely on optical sensors such as cameras and lidar for autonomous operation.
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution
CNN's limited receptive field restricts its ability to capture long-range spatial-temporal dependencies, leading to unsatisfactory performance in video super-resolution.
