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Found 5 papers, 1 papers with code
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.
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration
Specifically, we utilize sparse self-attention to filter out redundant information and noise, directing the model's attention to focus on the features more relevant to the degraded regions in need of reconstruction.
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.
