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Video Denoising

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Showing 51–75 of 89 papers

TitleStatusHype
Contrastive Learning for Low-light Raw Denoising—0
RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset—0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
Low Latency Video Denoising for Online Conferencing Using CNN Architectures—0
Skip-Attention: Improving Vision Transformers by Paying Less Attention—0
Gated Recurrent Unit for Video Denoising—0
Video Restoration with a Deep Plug-and-Play Prior—0
A Multi-scale Video Denoising Algorithm for Raw Image—0
Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising—0
Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network—0
Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer—0
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?—0
A qualitative investigation of optical flow algorithms for video denoising—0
Dancing under the stars: video denoising in starlight—0
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression—0
Neural Compression-Based Feature Learning for Video Restoration—0
Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation—0
Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition—0
Diagnosing and Preventing Instabilities in Recurrent Video Processing—0
Exploiting Temporal Attention Features for Effective Denoising in Videos—0
Learning Model-Blind Temporal Denoisers without Ground Truths—0
Block-matching in FPGA—0
Self-Supervised training for blind multi-frame video denoising—0
Restore from Restored: Video Restoration with Pseudo Clean Video—0
GPU acceleration of NL-means, BM3D and VBM3D—0
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