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A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.
It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
The state-of-the-art VSR
Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Propagation" (https://arxiv.org/abs/1909.08080).
Nokia PCE Segment Routing testing
Grounding Language Models for Compositional and Spatial Reasoning
A configuration-driven model training framework built specifically to train high quality image & video generator networks in Pytorch.
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)
ICIP2024 challenge for 360 super resolution
ODVista dataset for omnidirectional video super-resolution and quality enhancement tasks.
Speaker-Independent Speech Recognition using Visual Features
Firmware for the VSR as known from the Delorean Time Machine