[{"data":1,"prerenderedAt":35},["ShallowReactive",2],{"maker-atorodius":3},[4],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":21,"domain":22,"tier":23,"attempts":24,"strip":25,"url":26,"mix":27,"praise":32,"objection":33,"sub":34},23652753,"HiFiC","High-Fidelity Generative Image Compression – demo and paper",false,"ai",2020,281,89,"debated",0.03,5,[17,18,19,20],"image compression","generative adversarial network","learned compression","neural codec","atorodius","hific.github.io","legend",0,"5533131545313533313310153140510415155333","https:\u002F\u002Fhific.github.io",[28,29,30,31],18,27,1,16,"Results beat JPEG and BPG by a wide margin at low bitrates","Fine details like small text and faces are regenerated rather than real","generative image compression",1794036773402]