A deep learning model that achieves video super-resolution tasks with temporal and spatial attention in cascade
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Updated
Aug 1, 2023 - Python
A deep learning model that achieves video super-resolution tasks with temporal and spatial attention in cascade
Group-based Bi-Directional Recurrent Wavelet Neural Network for Efficient Video Super-Resolution (VSR) - Official Repository (Pattern Recognition Letters)
Wavelet Attention Embedding Networks for Video Super-Resolution (ICPR 2020) - Official Repository
Upscale video super-resolution using RSTT
Video Super Resolution library that implements training and evaluation of video super resolution architectures. Metrics and SoA architectures are already implemented, for quick fine-tuning and evaluation.
Upscale and interpolate video super-resolution using STARnet
HiRN: Hierarchical Recurrent Neural Network for Video Super-Resolution (VSR) using Two-Stage Feature Evolution - Official Repository (Applied Soft Computing)
ICIP2024 challenge for 360 super resolution
Group-based Bi-Directional Recurrent Wavelet Neural Network for Efficient Video Super-Resolution (VSR) - Official Repository (Pattern Recognition Letters)
HiRN: Hierarchical Recurrent Neural Network for Video Super-Resolution (VSR) using Two-Stage Feature Evolution - Official Repository (Applied Soft Computing)
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations
Accelerating Video Super Resolution for Mobile Device
Wavelet Attention Embedding Networks for Video Super-Resolution (ICPR 2020) - Official Repository
Video Super Resolution with depth map and optical flow for unnatural object flow
Implementation of the paper "ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices" using PyTorch.
Super Resolution for Cartoon Video
DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
Efficient Space-time Super Resolution using Flow and Mask Upsampling
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)
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