RSTT
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llmpass
Official pytorch implementation of paper "RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution"
Hello, [MSU Graphics & Media Lab Video Group](https://videoprocessing.ai/) has recently launched two new Super-Resolution Benchmarks. * [Video Upscalers Benchmark: Quality Enhancement](https://videoprocessing.ai/benchmarks/video-upscalers.html) determines the best upscaling methods for increasing video resolution...
Hello! Thank you for releasing the code of your amazing work! I want to implement some experiments based on your pre-trained weight, but I think that we are not able...
Hello,Is the extra frame from the decoder just get the average of the adjacent features from the encoder? if i % 2 == 0: y[:, i, :, :, :] =...
If I change the number of input_nums, from input_frames=4 to input_frames=12, and cancel Interpolation ,will it affect the model results? In addition, if it is feasible to convert to TensorRT?
Excuse me, does frame insertion have a great impact on the output? Because my test results will have obvious flicker problems:For example, in the following output, the results of singular...
Hi! In your paper, on Nvidia Quadro RTX 6000, real-time video SR is realized, how much memory does the inference process take? And, is it possible to realize real-time video...
