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SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network
Motivated from the success of transformers in language and vision applications, we propose a SRTransGAN for image super-resolution using transformer based GAN.
PTSR: Patch Translator for Image Super-Resolution
The results of the proposed model is improved on an average for $4\times$ super-resolution by 21. 66% in PNSR score and 11. 59% in SSIM score, as compared to the best competitive models.
Image Conditioned Keyframe-Based Video Summarization Using Object Detection
In this work, (i) Image is introduced as a query for user preference (ii) a mathematical model is proposed to minimize redundancy based on the loss function & summary variance and (iii) the similarity score between the query image and input video to obtain the summarized video.
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