{"total":160,"rows":[{"id":"2104.13371","title":"BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment","created":"2021-04-27","cited_by_count":342,"area":null},{"id":"2203.16194","title":"FlowFormer: A Transformer Architecture for Optical Flow","created":"2022-03-30","cited_by_count":275,"area":null},{"id":"2201.12288","title":"VRT: A Video Restoration Transformer","created":"2022-01-28","cited_by_count":220,"area":null},{"id":"2206.02146","title":"Recurrent Video Restoration Transformer with Guided Deformable Attention","created":"2022-06-05","cited_by_count":170,"area":null},{"id":"2203.06697","title":"Efficient Long-Range Attention Network for Image Super-resolution","created":"2022-03-13","cited_by_count":151,"area":null},{"id":"2106.06847","title":"Video Super-Resolution Transformer","created":"2021-06-12","cited_by_count":121,"area":null},{"id":"2303.01237","title":"FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation","created":"2023-03-02","cited_by_count":114,"area":null},{"id":"2206.03429","title":"Generating Long Videos of Dynamic Scenes","created":"2022-06-07","cited_by_count":113,"area":null},{"id":"2303.08340","title":"VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation","created":"2023-03-15","cited_by_count":82,"area":null},{"id":"2207.08494","title":"Rethinking Alignment in Video Super-Resolution Transformers","created":"2022-07-18","cited_by_count":71,"area":null},{"id":"2501.01320","title":"SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration","created":"2025-01-02","cited_by_count":62,"area":"diffusion"},{"id":"2204.04216","title":"Learning Trajectory-Aware Transformer for Video Super-Resolution","created":"2022-04-08","cited_by_count":61,"area":null},{"id":"2501.02976","title":"STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution","created":"2025-01-06","cited_by_count":56,"area":"diffusion"},{"id":"2203.14186","title":"RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution","created":"2022-03-27","cited_by_count":44,"area":null},{"id":"2305.15688","title":"Frame-Event Alignment and Fusion Network for High Frame Rate Tracking","created":"2023-05-25","cited_by_count":43,"area":null},{"id":"2204.06504","title":"DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization","created":"2022-04-13","cited_by_count":32,"area":null},{"id":"2103.15683","title":"Omniscient Video Super-Resolution","created":"2021-03-29","cited_by_count":30,"area":null},{"id":"2404.12388","title":"VideoGigaGAN: Towards Detail-rich Video Super-Resolution","created":"2024-04-18","cited_by_count":30,"area":null},{"id":"2212.07339","title":"Mitigating Artifacts in Real-World Video Super-Resolution Models","created":"2022-12-14","cited_by_count":29,"area":null},{"id":"2401.06312","title":"Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention","created":"2024-01-12","cited_by_count":29,"area":null},{"id":"2401.03707","title":"FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring","created":"2024-01-08","cited_by_count":28,"area":null},{"id":"2208.03641","title":"No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects","created":"2022-08-07","cited_by_count":27,"area":null},{"id":"2105.01237","title":"COMISR: Compression-Informed Video Super-Resolution","created":"2021-05-04","cited_by_count":26,"area":null},{"id":"2208.03012","title":"Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution","created":"2022-08-05","cited_by_count":25,"area":null},{"id":"2204.02957","title":"Video Demoireing with Relation-Based Temporal Consistency","created":"2022-04-06","cited_by_count":24,"area":null},{"id":"2204.05532","title":"Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones","created":"2022-04-12","cited_by_count":24,"area":null},{"id":"2207.01074","title":"Variational Deep Image Restoration","created":"2022-07-03","cited_by_count":24,"area":null},{"id":"2206.07038","title":"AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos","created":"2022-06-14","cited_by_count":23,"area":null},{"id":"2403.17000","title":"Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution","created":"2024-03-25","cited_by_count":23,"area":"diffusion"},{"id":"2305.06524","title":"Can SAM Boost Video Super-Resolution?","created":"2023-05-11","cited_by_count":21,"area":null},{"id":"2203.14537","title":"Reference-based Video Super-Resolution Using Multi-Camera Video Triplets","created":"2022-03-28","cited_by_count":20,"area":null},{"id":"2204.07114","title":"Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling","created":"2022-04-14","cited_by_count":20,"area":null},{"id":"2204.09314","title":"NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results","created":"2022-04-20","cited_by_count":20,"area":null},{"id":"2212.05342","title":"Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution","created":"2022-12-10","cited_by_count":20,"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":"2107.11639","title":"Self-Conditioned Probabilistic Learning of Video Rescaling","created":"2021-07-24","cited_by_count":19,"area":null},{"id":"2312.06071","title":"Precipitation Downscaling with Spatiotemporal Video Diffusion","created":"2023-12-11","cited_by_count":19,"area":"diffusion"},{"id":"2201.11632","title":"Deep Video Prior for Video Consistency and Propagation","created":"2022-01-27","cited_by_count":18,"area":null},{"id":"2108.11048","title":"Memory-Augmented Non-Local Attention for Video Super-Resolution","created":"2021-08-25","cited_by_count":17,"area":null},{"id":"2202.04256","title":"GiraffeDet: A Heavy-Neck Paradigm for Object Detection","created":"2022-02-09","cited_by_count":17,"area":null},{"id":"2303.16493","title":"AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation","created":"2023-03-29","cited_by_count":17,"area":null},{"id":"2204.02977","title":"Multi-Scale Memory-Based Video Deblurring","created":"2022-04-06","cited_by_count":16,"area":null},{"id":"2211.01639","title":"Temporal Consistency Learning of inter-frames for Video Super-Resolution","created":"2022-11-03","cited_by_count":16,"area":null},{"id":"2108.08202","title":"Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation","created":"2021-08-18","cited_by_count":15,"area":null},{"id":"2207.01831","title":"Learning Local Implicit Fourier Representation for Image Warping","created":"2022-07-05","cited_by_count":14,"area":null},{"id":"2410.03936","title":"Learning Truncated Causal History Model for Video Restoration","created":"2024-10-04","cited_by_count":13,"area":null},{"id":"2205.05264","title":"Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning","created":"2022-05-11","cited_by_count":12,"area":null},{"id":"2207.05049","title":"Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis","created":"2022-07-11","cited_by_count":12,"area":null},{"id":"2305.02660","title":"Expanding Synthetic Real-World Degradations for Blind Video Super Resolution","created":"2023-05-04","cited_by_count":12,"area":null},{"id":"2205.10195","title":"Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration","created":"2022-05-20","cited_by_count":11,"area":null},{"id":"2412.03520","title":"Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention","created":"2024-12-04","cited_by_count":11,"area":null},{"id":"2203.09294","title":"A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift","created":"2022-03-17","cited_by_count":10,"area":null},{"id":"2207.01797","title":"Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution","created":"2022-07-05","cited_by_count":10,"area":null},{"id":"2207.10765","title":"Towards Interpretable Video Super-Resolution via Alternating Optimization","created":"2022-07-21","cited_by_count":10,"area":null},{"id":"2103.11744","title":"Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling","created":"2021-03-22","cited_by_count":9,"area":null},{"id":"2106.03727","title":"Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions","created":"2021-06-07","cited_by_count":9,"area":null},{"id":"2208.01462","title":"Physics-informed Deep Super-resolution for Spatiotemporal Data","created":"2022-08-02","cited_by_count":9,"area":null},{"id":"2501.11043","title":"BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution","created":"2025-01-19","cited_by_count":9,"area":null},{"id":"2110.15327","title":"MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution","created":"2021-10-28","cited_by_count":8,"area":null},{"id":"2205.02031","title":"Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites","created":"2022-05-04","cited_by_count":8,"area":null},{"id":"2207.09691","title":"Efficient Meta-Tuning for Content-aware Neural Video Delivery","created":"2022-07-20","cited_by_count":8,"area":null},{"id":"2312.09909","title":"TMP: Temporal Motion Propagation for Online Video Super-Resolution","created":"2023-12-15","cited_by_count":8,"area":null},{"id":"2107.05307","title":"Real-Time Super-Resolution System of 4K-Video Based on Deep Learning","created":"2021-07-12","cited_by_count":7,"area":null},{"id":"2210.16579","title":"INR-V: A Continuous Representation Space for Video-based Generative Tasks","created":"2022-10-29","cited_by_count":7,"area":null},{"id":"2303.08331","title":"Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting","created":"2023-03-15","cited_by_count":7,"area":null},{"id":"2306.08887","title":"SplatFlow: Learning Multi-frame Optical Flow via Splatting","created":"2023-06-15","cited_by_count":7,"area":null},{"id":"2409.15384","title":"BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow","created":"2024-09-21","cited_by_count":7,"area":null},{"id":"2512.23709","title":"Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion","created":"2025-12-29","cited_by_count":7,"area":"diffusion"},{"id":"2103.14858","title":"Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling","created":"2021-03-27","cited_by_count":6,"area":null},{"id":"2106.04195","title":"Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation","created":"2021-06-08","cited_by_count":6,"area":"distill"},{"id":"2112.08950","title":"Stable Long-Term Recurrent Video Super-Resolution","created":"2021-12-16","cited_by_count":6,"area":null},{"id":"2210.08229","title":"A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution","created":"2022-10-15","cited_by_count":6,"area":null},{"id":"2305.14669","title":"NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2104.07473","title":"Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution","created":"2021-04-15","cited_by_count":5,"area":null},{"id":"2110.07797","title":"EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation","created":"2021-10-15","cited_by_count":5,"area":null},{"id":"2303.18139","title":"Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations","created":"2023-03-31","cited_by_count":5,"area":null},{"id":"2308.03018","title":"Recurrent Spike-based Image Restoration under General Illumination","created":"2023-08-06","cited_by_count":5,"area":null},{"id":"2312.07835","title":"Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements","created":"2023-12-13","cited_by_count":5,"area":null},{"id":"2403.05660","title":"Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera","created":"2024-03-08","cited_by_count":5,"area":null},{"id":"2506.03216","title":"A Survey of Deep Learning Video Super-Resolution","created":"2025-06-03","cited_by_count":5,"area":null},{"id":"2506.08529","title":"LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\\times$RTX 4090s","created":"2025-06-10","cited_by_count":5,"area":"diffusion"},{"id":"2203.10462","title":"Optical Flow for Video Super-Resolution: A Survey","created":"2022-03-20","cited_by_count":4,"area":null},{"id":"2102.11720","title":"Deep Unrolled Network for Video Super-Resolution","created":"2021-02-23","cited_by_count":3,"area":null},{"id":"2207.06345","title":"You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution","created":"2022-07-13","cited_by_count":3,"area":null},{"id":"2208.11608","title":"Sliding Window Recurrent Network for Efficient Video Super-Resolution","created":"2022-08-24","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":"2306.05442","title":"FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow","created":"2023-06-08","cited_by_count":3,"area":null},{"id":"2307.02897","title":"RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution","created":"2023-07-06","cited_by_count":3,"area":null},{"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":"2509.16507","title":"OS-DiffVSR: Towards One-step Latent Diffusion Model for High-detailed Real-world Video Super-Resolution","created":"2025-09-20","cited_by_count":3,"area":"diffusion"},{"id":"2509.21265","title":"MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2112.02828","title":"PP-MSVSR: Multi-Stage Video Super-Resolution","created":"2021-12-06","cited_by_count":2,"area":null},{"id":"2203.08140","title":"Learning Spatio-Temporal Downsampling for Effective Video Upscaling","created":"2022-03-15","cited_by_count":2,"area":null},{"id":"2205.05069","title":"Accelerating the Training of Video Super-Resolution Models","created":"2022-05-10","cited_by_count":2,"area":null},{"id":"2206.03753","title":"Task Agnostic Restoration of Natural Video Dynamics","created":"2022-06-08","cited_by_count":2,"area":null},{"id":"2207.12496","title":"NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras","created":"2022-07-25","cited_by_count":2,"area":null},{"id":"2209.02316","title":"Wavelet-based Loss for High-frequency Interface Dynamics","created":"2022-09-06","cited_by_count":2,"area":null},{"id":"2308.01483","title":"Efficient neural supersampling on a novel gaming dataset","created":"2023-08-03","cited_by_count":2,"area":null},{"id":"2404.04745","title":"Collaborative Feedback Discriminative Propagation for Video Super-Resolution","created":"2024-04-06","cited_by_count":2,"area":null},{"id":"2410.11506","title":"Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution","created":"2024-10-15","cited_by_count":2,"area":null}],"next_cursor":"100"}