Insta(nt) Pet Therapy: GAN-generated Images for Therapeutic Social Media Content
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Abstract (arXiv)
The positive therapeutic effect of viewing pet images online has been well-studied. However, it is difficult to obtain large-scale production of such content since it relies on pet owners to capture photographs and upload them. I use a Generative Adversarial Network-based framework for the creation of fake pet images at scale. These images are uploaded on an Instagram account where they drive user engagement at levels comparable to those seen with images from accounts with traditional pet photographs, underlining the applicability of the framework to be used for pet-therapy social media content.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 13 references that are in the map. First posted on arXiv 17 Apr 2023.
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3 of 13 references.
References · 3
- 2016Improved Techniques for Training GANscited by 2,970
- 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,626
- 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
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