Reference-Based Face Super-Resolution Using the Spatial Transformer
Face super-resolution is the task of increasing the resolution of an image containing a face thereby adding finer detail. It is a ubiquitous task in many computer vision applications and quite often the user isn't even aware that it is being performed. However, doing it with high fidelity is challenging as it is an ill-posed problem. In this paper we present a reference-based solution for face super-resolution that uses higher resolution reference images to aid in the task. We show an alignment
Record details
Published: 13 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (13 July 2026), “Reference-Based Face Super-Resolution Using the Spatial Transformer,” evidence record 10207, https://ethics.ai/record/10207 (originally published by arXiv cs.LG).
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