Search Results for author: Scott John Easley

Found 1 papers, 0 papers with code

Instant Photorealistic Style Transfer: A Lightweight and Adaptive Approach

no code implementations18 Sep 2023 Rong Liu, Enyu Zhao, Zhiyuan Liu, Andrew Feng, Scott John Easley

In this paper, we propose an Instant Photorealistic Style Transfer (IPST) approach, designed to achieve instant photorealistic style transfer on super-resolution inputs without the need for pre-training on pair-wise datasets or imposing extra constraints.

Style Transfer Super-Resolution

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