HiFiC – High-Fidelity Generative Image Compression – demo and paper
We combine Generative Adversarial Networks with learned compression to obtain a state-of-the-art generative lossy compression system.
HiFiC – High-Fidelity Generative Image Compression – demo and paper launched on June 26, 2020 with 281 votes, #58 of 4,317 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
HiFiC is an image compression tool that uses generative AI to maintain high visual quality while reducing file sizes. It's designed for anyone who needs to compress images without losing important details. What stands out is its approach of combining traditional compression techniques with machine learning to achieve better quality at smaller file sizes compared to standard methods like JPEG.
written from the facts on this page · September 2026
From the sources
We combine Generative Adversarial Networks with learned compression to obtain a state-of-the-art generative lossy compression system. In the paper, we investigate normalization layers, generator and discriminator architectures, training strategies, as well as perceptual losses. In a user study, we show that our method is preferred to previous state-of-the-art approaches even if they use more than 2× the bitrate. On iPhone, to move the slider while zoomed in, tap and hold until you get haptic feedback! The PDF on arxiv includes the supplementary materials with more information. Reconstructions of HiFiC on all these datasets can be found here. Training code, code to evaluate with our…from hific.github.io
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