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- FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining61
FourierMamba, a new framework that correlates Fourier space information in the spatial and channel dimensions with distinct designs, and can directly use Mamba to perform frequency correlation and improve the channel information representation.
- NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results30
A comprehensive overview of the NTIRE 2025 Efficient Burst HDR and Restoration Challenge is provided, the proposed solutions are compared, and it serves as a valuable reference for researchers and practitioners in efficient burst HDR and restoration.
- Motion-adaptive Transformer for Event-based Image Deblurring30
This work introduces a Motion-Adaptive Transformer network (MAT) that utilizes spatial motion information to forge robust global connections and elaborately design a Cross-Modal Intensity Gating mechanism that efficiently merges intensity data across modalities while minimizing parameter use.
- NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results28
This paper presents an overview of NTIRE 2025, the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results, and anticipate that this challenge will drive further advancements in event-based vision research.
- NTIRE 2025 Challenge on Raw Image Restoration and Super-Resolution28
The NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge is reviewed, highlighting the proposed solutions and results, and presents the current state-of-the-art in RAW Restoration.
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- AIM 2025 Low-Light RAW Video Denoising Challenge: Dataset, Methods and Results21
This paper introduces a new benchmark of 756 ten-frame sequences captured with 14 smartphone camera sensors across nine conditions, with high-SNR references obtained via burst av-eraging, and describes the dataset, challenge protocol, and submitted approaches.
- Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey21
The NTIRE 2024 RAW Image Super-Resolution Challenge is reviewed, highlighting the proposed solutions and results, and providing a gauge for the current state-of-the-art in RAW Image Super-Resolution.
- DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration17
This work introduces a wavelet-based adapter that extracts multi-scale image information and employs frequency-aware adaptive modulation to bridge the domain gap by integrating degraded image data into the pre-trained VAE.
- DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS Camera15
A coarse-to-fine framework named DemosaicFormer which comprises coarse demosaicing and pixel correction and achieves the best performance in terms of all the evaluation metrics in the MIPI 2024 challenge on Demosaic for Hybridevs Camera.
- Event-Driven Heterogeneous Network for Video Deraining14
This work meticulously design a bio-inspired Spiking Neural Network that adapts to the sparse event sequences, capturing features of falling rain and establishes a bimodal feature fusion module that combines dense convolutional features with sparse spiking features.
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- AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results13
This paper presents a comprehensive review of the AIM 2025 Challenge on Inverse Tone Mapping, highlighting innovative strategies for enhancing HDR re-construction quality and establishing strong benchmarks to guide future research in inverse tone mapping.
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- MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results9
A total of 110 participants from both industrial and academic backgrounds contributed many valuable solutions to address the difficulty of the restoration of HybridEVS’s raw data, thus raising the reconstructed performance to a new height.
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- Learning Robust Event-Guided Representations for Person Re-Identification5
This work proposes an event-guided multi-degradation learning framework, which explores the complementary information of event streams to extract identity-related robust features in real-world degradations and designs a deformable spiking neural network to encode events into the spiking form.
- Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset2
This work designs an Event-Illumination Collaborative Interaction (EICI) module, which contains two key processes: forward gathering, which gathers HDR features across varying lighting conditions, and backward injection, which provides complementary content for illumination and event representations.
- Technique Report of CVPR 2024 PBDL Challenges2
This technical report summarizes the outcomes of the Physics-Based Vision Meets Deep Learning (PBDL) 2024 challenge, held in CVPR 2024 workshop, focusing on Low-Light Enhancement and Detection as well as High Dynamic Range (HDR) Imaging.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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