{"total":108,"rows":[{"id":"2101.10997","title":"Deep Burst Super-Resolution","created":"2021-01-26","cited_by_count":83,"area":null},{"id":"2111.15557","title":"Low-light Image Enhancement via Breaking Down the Darkness","created":"2021-11-30","cited_by_count":65,"area":null},{"id":"2102.09000","title":"Mobile Computational Photography: A Tour","created":"2021-02-17","cited_by_count":62,"area":null},{"id":"2108.08119","title":"Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision","created":"2021-08-18","cited_by_count":43,"area":null},{"id":"2201.03210","title":"Model-Based Image Signal Processors via Learnable Dictionaries","created":"2022-01-10","cited_by_count":43,"area":null},{"id":"2108.08286","title":"Deep Reparametrization of Multi-Frame Super-Resolution and Denoising","created":"2021-08-18","cited_by_count":39,"area":null},{"id":"2105.07809","title":"Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":34,"area":null},{"id":"2105.07825","title":"Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":34,"area":null},{"id":"2204.08332","title":"BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment","created":"2022-04-18","cited_by_count":32,"area":null},{"id":"2306.11920","title":"NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement","created":"2023-06-20","cited_by_count":31,"area":null},{"id":"2104.13365","title":"NTIRE 2021 Depth Guided Image Relighting Challenge","created":"2021-04-27","cited_by_count":23,"area":null},{"id":"2104.09398","title":"Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor","created":"2021-04-19","cited_by_count":22,"area":null},{"id":"2106.03839","title":"NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results","created":"2021-06-07","cited_by_count":22,"area":null},{"id":"2205.03688","title":"GenISP: Neural ISP for Low-Light Machine Cognition","created":"2022-05-07","cited_by_count":22,"area":null},{"id":"2104.06191","title":"Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts","created":"2021-04-13","cited_by_count":21,"area":null},{"id":"2105.08630","title":"Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":19,"area":null},{"id":"2105.08826","title":"Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":19,"area":null},{"id":"2408.14802","title":"RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images","created":"2024-08-27","cited_by_count":19,"area":null},{"id":"2207.14671","title":"High Dynamic Range and Super-Resolution from Raw Image Bursts","created":"2022-07-29","cited_by_count":18,"area":null},{"id":"2210.16046","title":"Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments","created":"2022-10-28","cited_by_count":18,"area":null},{"id":"2305.05867","title":"Optical Aberration Correction in Postprocessing using Imaging Simulation","created":"2023-05-10","cited_by_count":18,"area":null},{"id":"2410.22939","title":"AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection","created":"2024-10-30","cited_by_count":18,"area":null},{"id":"2106.13883","title":"Semi-Supervised Raw-to-Raw Mapping","created":"2021-06-25","cited_by_count":16,"area":null},{"id":"2211.05910","title":"Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report","created":"2022-11-07","cited_by_count":16,"area":null},{"id":"2304.06019","title":"Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera","created":"2023-04-12","cited_by_count":16,"area":null},{"id":"2105.08629","title":"Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":15,"area":null},{"id":"2301.08965","title":"Raw or Cooked? Object Detection on RAW Images","created":"2023-01-21","cited_by_count":14,"area":null},{"id":"2401.02161","title":"Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain","created":"2024-01-04","cited_by_count":14,"area":null},{"id":"2504.04903","title":"Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision","created":"2025-04-07","cited_by_count":14,"area":null},{"id":"2104.02895","title":"PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing","created":"2021-04-07","cited_by_count":13,"area":null},{"id":"2211.03885","title":"Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report","created":"2022-11-07","cited_by_count":13,"area":null},{"id":"2211.06770","title":"MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning","created":"2022-11-08","cited_by_count":13,"area":null},{"id":"2110.08619","title":"SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction","created":"2021-10-16","cited_by_count":12,"area":null},{"id":"2507.01838","title":"MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices","created":"2025-07-02","cited_by_count":12,"area":null},{"id":"2210.11153","title":"Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report","created":"2022-10-20","cited_by_count":11,"area":null},{"id":"2307.00761","title":"Learning Degradation-Independent Representations for Camera ISP Pipelines","created":"2023-07-03","cited_by_count":11,"area":null},{"id":"2312.15487","title":"BSRAW: Improving Blind RAW Image Super-Resolution","created":"2023-12-24","cited_by_count":11,"area":null},{"id":"2404.10700","title":"Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs","created":"2024-04-16","cited_by_count":11,"area":null},{"id":"2406.07951","title":"DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS Camera","created":"2024-06-12","cited_by_count":11,"area":null},{"id":"2104.09386","title":"A Two-stage Deep Network for High Dynamic Range Image Reconstruction","created":"2021-04-19","cited_by_count":10,"area":null},{"id":"2305.05886","title":"Computational Optics for Mobile Terminals in Mass Production","created":"2023-05-10","cited_by_count":10,"area":null},{"id":"2203.10636","title":"Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild","created":"2022-03-20","cited_by_count":9,"area":null},{"id":"2206.06070","title":"Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens","created":"2022-06-13","cited_by_count":9,"area":null},{"id":"2506.02197","title":"NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution","created":"2025-06-02","cited_by_count":9,"area":null},{"id":"2205.13489","title":"Measuring Perceptual Color Differences of Smartphone Photographs","created":"2022-05-26","cited_by_count":8,"area":null},{"id":"2211.06263","title":"PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks","created":"2022-11-08","cited_by_count":7,"area":null},{"id":"2409.18204","title":"Toward Efficient Deep Blind RAW Image Restoration","created":"2024-09-26","cited_by_count":7,"area":null},{"id":"2503.19283","title":"ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency","created":"2025-03-25","cited_by_count":7,"area":"diffusion"},{"id":"2307.10667","title":"Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors","created":"2023-07-20","cited_by_count":6,"area":null},{"id":"2404.16223","title":"Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey","created":"2024-04-24","cited_by_count":6,"area":null},{"id":"2409.07040","title":"Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement","created":"2024-09-11","cited_by_count":6,"area":null},{"id":"2503.07300","title":"Goal Conditioned Reinforcement Learning for Photo Finishing Tuning","created":"2025-03-10","cited_by_count":6,"area":"deeprl"},{"id":"2112.07315","title":"Kernel-aware Burst Blind Super-Resolution","created":"2021-12-14","cited_by_count":5,"area":null},{"id":"2112.09219","title":"All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines","created":"2021-12-16","cited_by_count":5,"area":null},{"id":"2303.13916","title":"Self-Supervised Reversed Image Signal Processing via Reference-Guided Dynamic Parameter Selection","created":"2023-03-24","cited_by_count":5,"area":null},{"id":"2308.08137","title":"SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device","created":"2023-08-16","cited_by_count":5,"area":null},{"id":"2401.03220","title":"MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition","created":"2024-01-06","cited_by_count":5,"area":null},{"id":"2102.05847","title":"ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media","created":"2021-02-11","cited_by_count":4,"area":null},{"id":"2105.08470","title":"Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement","created":"2021-05-18","cited_by_count":4,"area":null},{"id":"2207.03081","title":"DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning","created":"2022-07-07","cited_by_count":4,"area":null},{"id":"2211.04470","title":"Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report","created":"2022-11-07","cited_by_count":4,"area":null},{"id":"2305.10889","title":"FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement","created":"2023-05-18","cited_by_count":4,"area":null},{"id":"2503.11781","title":"Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2506.01947","title":"RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2508.02168","title":"After the Party: Navigating the Mapping From Color to Ambient Lighting","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2108.01623","title":"Del-Net: A Single-Stage Network for Mobile Camera ISP","created":"2021-08-03","cited_by_count":3,"area":null},{"id":"2111.01511","title":"ISP-Agnostic Image Reconstruction for Under-Display Cameras","created":"2021-11-02","cited_by_count":3,"area":null},{"id":"2210.09074","title":"Reversing Image Signal Processors by Reverse Style Transferring","created":"2022-10-17","cited_by_count":3,"area":null},{"id":"2211.05256","title":"Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report","created":"2022-11-07","cited_by_count":3,"area":null},{"id":"2403.19428","title":"Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality","created":"2024-03-28","cited_by_count":3,"area":"diffusion"},{"id":"2404.02731","title":"Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2505.10420","title":"Learned Lightweight Smartphone ISP with Unpaired Data","created":"2025-05-15","cited_by_count":3,"area":null},{"id":"2512.08441","title":"Leveraging Multispectral Sensors for Color Correction in Mobile Cameras","created":"2025-12-09","cited_by_count":3,"area":null},{"id":"2203.04314","title":"PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors","created":"2022-03-08","cited_by_count":2,"area":null},{"id":"2403.10091","title":"PQDynamicISP: Dynamically Controlled Image Signal Processor for Any Image Sensors Pursuing Perceptual Quality","created":"2024-03-15","cited_by_count":2,"area":null},{"id":"2404.11569","title":"Simple Image Signal Processing using Global Context Guidance","created":"2024-04-17","cited_by_count":2,"area":null},{"id":"2411.05993","title":"A Modular Conditional Diffusion Framework for Image Reconstruction","created":"2024-11-08","cited_by_count":2,"area":"diffusion"},{"id":"2503.17027","title":"RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2509.13762","title":"Task-Aware Image Signal Processor for Advanced Visual Perception","created":"2025-09-17","cited_by_count":2,"area":null},{"id":"2510.10083","title":"Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts","created":"2025-10-11","cited_by_count":2,"area":null},{"id":"2110.13217","title":"RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network","created":"2021-10-25","cited_by_count":1,"area":null},{"id":"2111.07499","title":"Reinforcement Learning of Self Enhancing Camera Image and Signal Processing","created":"2021-11-15","cited_by_count":1,"area":null},{"id":"2203.10562","title":"CRISPnet: Color Rendition ISP Net","created":"2022-03-20","cited_by_count":1,"area":null},{"id":"2204.08970","title":"Rendering Nighttime Image Via Cascaded Color and Brightness Compensation","created":"2022-04-19","cited_by_count":1,"area":null},{"id":"2210.03904","title":"LW-ISP: A Lightweight Model with ISP and Deep Learning","created":"2022-10-08","cited_by_count":1,"area":null},{"id":"2210.11511","title":"Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement","created":"2022-10-20","cited_by_count":1,"area":null},{"id":"2305.11994","title":"ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing","created":"2023-05-19","cited_by_count":1,"area":null},{"id":"2402.15784","title":"IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer","created":"2024-02-24","cited_by_count":1,"area":null},{"id":"2410.05410","title":"Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2502.20824","title":"MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2503.08027","title":"Deep Perceptual Enhancement for Medical Image Analysis","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2512.05635","title":"Experts-Guided Unbalanced Optimal Transport for ISP Learning from Unpaired and/or Paired Data","created":"2025-12-05","cited_by_count":1,"area":null},{"id":"2602.03760","title":"RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2605.07359","title":"UniISP: A Unified ISP Framework for Both Human and Machine Vision","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2104.00253","title":"Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing","created":"2021-04-01","cited_by_count":0,"area":null},{"id":"2204.01795","title":"Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks","created":"2022-04-04","cited_by_count":0,"area":null},{"id":"2206.01733","title":"Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline","created":"2022-06-02","cited_by_count":0,"area":null},{"id":"2404.07212","title":"Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras","created":"2024-02-20","cited_by_count":0,"area":null},{"id":"2508.01396","title":"Spatial-Frequency Aware for Object Detection in RAW Image","created":"2025-08-02","cited_by_count":0,"area":null},{"id":"2603.12493","title":"RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution","created":"2026-03-12","cited_by_count":0,"area":null}],"next_cursor":"100"}