{"list":"other","total":70,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2103.14030","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","created":"2021-03-25","cited_by_count":12139},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2212.09748","title":"Scalable Diffusion Models with Transformers","created":"2022-12-19","cited_by_count":6054},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"2312.00752","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","created":"2023-12-01","cited_by_count":4718},{"id":"2210.08402","title":"LAION-5B: An open large-scale dataset for training next generation image-text models","created":"2022-10-16","cited_by_count":4152},{"id":"2408.00714","title":"SAM 2: Segment Anything in Images and Videos","created":"2024-08-01","cited_by_count":2863},{"id":"2108.10257","title":"SwinIR: Image Restoration Using Swin Transformer","created":"2021-08-23","cited_by_count":1887},{"id":"1812.03982","title":"SlowFast Networks for Video Recognition","created":"2018-12-10","cited_by_count":1867},{"id":"1707.02921","title":"Enhanced Deep Residual Networks for Single Image Super-Resolution","created":"2017-07-10","cited_by_count":1552},{"id":"2111.09883","title":"Swin Transformer V2: Scaling Up Capacity and Resolution","created":"2021-11-18","cited_by_count":1228},{"id":"2107.10833","title":"Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data","created":"2021-07-22","cited_by_count":970},{"id":"1511.04587","title":"Accurate Image Super-Resolution Using Very Deep Convolutional Networks","created":"2015-11-14","cited_by_count":903},{"id":"2004.04730","title":"X3D: Expanding Architectures for Efficient Video Recognition","created":"2020-04-09","cited_by_count":637},{"id":"2312.17090","title":"Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels","created":"2023-12-28","cited_by_count":503},{"id":"2205.04437","title":"Activating More Pixels in Image Super-Resolution Transformer","created":"2022-05-09","cited_by_count":438},{"id":"1804.02815","title":"Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform","created":"2018-04-09","cited_by_count":371},{"id":"2402.15648","title":"MambaIR: A Simple Baseline for Image Restoration with State-Space Model","created":"2024-02-23","cited_by_count":352},{"id":"2403.06977","title":"VideoMamba: State Space Model for Efficient Video Understanding","created":"2024-03-11","cited_by_count":328},{"id":"2211.04894","title":"Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives","created":"2022-11-09","cited_by_count":320},{"id":"2311.16518","title":"SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution","created":"2023-11-27","cited_by_count":315},{"id":"2201.02973","title":"MAXIM: Multi-Axis MLP for Image Processing","created":"2022-01-09","cited_by_count":302},{"id":"1511.06523","title":"WIDER FACE: A Face Detection Benchmark","created":"2015-11-20","cited_by_count":298},{"id":"2401.13627","title":"Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild","created":"2024-01-24","cited_by_count":286},{"id":"2303.14968","title":"Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective","created":"2023-03-27","cited_by_count":280},{"id":"2311.14760","title":"SinSR: Diffusion-Based Image Super-Resolution in a Single Step","created":"2023-11-23","cited_by_count":238},{"id":"2207.02595","title":"FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling","created":"2022-07-06","cited_by_count":179},{"id":"2311.06783","title":"Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models","created":"2023-11-12","cited_by_count":152},{"id":"2108.11084","title":"Transformer for Single Image Super-Resolution","created":"2021-08-25","cited_by_count":150},{"id":"2011.13544","title":"Patch-VQ: 'Patching Up' the Video Quality Problem","created":"2020-11-27","cited_by_count":147},{"id":"2501.11561","title":"Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution","created":"2025-01-20","cited_by_count":141},{"id":"2005.14354","title":"UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content","created":"2020-05-29","cited_by_count":140},{"id":"2204.14047","title":"A Deep Learning based No-reference Quality Assessment Model for UGC Videos","created":"2022-04-29","cited_by_count":129},{"id":"2412.03017","title":"Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach","created":"2024-12-04","cited_by_count":97},{"id":"2411.15269","title":"MambaIRv2: Attentive State Space Restoration","created":"2024-11-22","cited_by_count":94},{"id":"2204.08714","title":"NAFSSR: Stereo Image Super-Resolution Using NAFNet","created":"2022-04-19","cited_by_count":76},{"id":"2208.11247","title":"SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution","created":"2022-08-24","cited_by_count":68},{"id":"2403.07319","title":"Efficient Diffusion Model for Image Restoration by Residual Shifting","created":"2024-03-12","cited_by_count":64},{"id":"2404.10343","title":"The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report","created":"2024-04-16","cited_by_count":57},{"id":"2403.05049","title":"XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution","created":"2024-03-08","cited_by_count":41},{"id":"2404.09790","title":"NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results","created":"2024-04-15","cited_by_count":40},{"id":"2307.13981","title":"Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models","created":"2023-07-26","cited_by_count":38},{"id":"2402.07220","title":"KVQ: Kwai Video Quality Assessment for Short-form Videos","created":"2024-02-11","cited_by_count":38},{"id":"2404.11313","title":"NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results","created":"2024-04-17","cited_by_count":29},{"id":"2106.01111","title":"Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos","created":"2021-06-02","cited_by_count":27},{"id":"2402.19387","title":"SeD: Semantic-Aware Discriminator for Image Super-Resolution","created":"2024-02-29","cited_by_count":26},{"id":"2504.10686","title":"The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report","created":"2025-04-14","cited_by_count":26},{"id":"2504.10685","title":"NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results","created":"2025-04-14","cited_by_count":25},{"id":"2504.12276","title":"The Tenth NTIRE 2025 Image Denoising Challenge Report","created":"2025-04-16","cited_by_count":21},{"id":"2208.09885","title":"HST: Hierarchical Swin Transformer for Compressed Image Super-resolution","created":"2022-08-21","cited_by_count":20},{"id":"2208.11184","title":"AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results","created":"2022-08-23","cited_by_count":20},{"id":"2308.00729","title":"Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment","created":"2023-08-01","cited_by_count":20},{"id":"2405.08745","title":"Enhancing Blind Video Quality Assessment with Rich Quality-aware Features","created":"2024-05-14","cited_by_count":19},{"id":"2303.06859","title":"Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective","created":"2023-03-13","cited_by_count":17},{"id":"2412.03748","title":"HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution","created":"2024-12-04","cited_by_count":17},{"id":"2504.12401","title":"NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results","created":"2025-04-16","cited_by_count":16},{"id":"2303.00521","title":"Quality-aware Pre-trained Models for Blind Image Quality Assessment","created":"2023-03-01","cited_by_count":15},{"id":"2408.11758","title":"MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs","created":"2024-08-21","cited_by_count":14},{"id":"2408.03265","title":"BVI-AOM: A New Training Dataset for Deep Video Compression Optimization","created":"2024-08-06","cited_by_count":12},{"id":"2503.10259","title":"KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception","created":"2025-03-13","cited_by_count":11},{"id":"2501.12976","title":"LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation","created":"2025-01-22","cited_by_count":10},{"id":"2407.13108","title":"UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt","created":"2024-07-18","cited_by_count":8},{"id":"2407.16541","title":"QPT V2: Masked Image Modeling Advances Visual Scoring","created":"2024-07-23","cited_by_count":8},{"id":"2401.08522","title":"Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy","created":"2024-01-16","cited_by_count":6},{"id":"2503.13740","title":"C2D-ISR: Optimizing Attention-based Image Super-resolution from Continuous to Discrete Scales","created":"2025-03-17","cited_by_count":6},{"id":"2504.01655","title":"Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning","created":"2025-04-02","cited_by_count":6},{"id":"2502.19026","title":"InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model","created":"2025-02-26","cited_by_count":4},{"id":"2504.09887","title":"Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution","created":"2025-04-14","cited_by_count":2},{"id":"2111.13078","title":"A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective","created":"2021-11-25","cited_by_count":1}],"next_cursor":null}