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In contrast to editing images with StyleGAN, few works have addressed video-based attribute editing. Most notably, Yao et al. We aim to leverage StyleGAN3’s rotation and translation equivariance to achieve accurate and consistent video editing while reducing the overhead of previous techniques. We refer the reader to Appendix A for additional background on StyleGAN’s latent spaces, inversion techniques, and the editing capabilities it offers. StyleGAN3’s synthesis network is composed of a fixed number of convolutional layers (16161616), irrespective of the output image resolution. We denote by (w0,…,w15)subscript??0… POSTSUBSCRIPT ) the set of input codes passed to these layers. POSTSUBSCRIPT via a learned affine layer. POSTSUBSCRIPT is fed into an independently learned affine layer, which yields modulation factors used to adjust the convolutional kernel weights. POSTSUBSCRIPT, the result may be easily adjusted by concatenating another transformation. POSTSUBSCRIPT ) ; ( 0 , 0 , 0 ) ). Fig. 3 demonstrates this idea on two different StyleGAN3 generators trained on unaligned FFHQ and AFHQ datasets, respectively. People spend lifetimes trying to perfect their swings. Welcome to the gentleman's game of golf, where the breeze often carries a distant murmur of swear words, and expensive clubs suffer routine abuse. Since its inception sometime in the Middle Ages, golf has inspired obsession. Some players are lured by the refined aura of the sport, the sweeping links and velvety greens. Others are obsessed with golfing gear -- the latest drivers, spiked shoes and fancy putters. Still others simply enjoy driving around in the golf cart. There's no denying that golf sings a siren's song. Too often, however, that song is soured by a wicked slice or a ball that plummets to its final resting place at the bottom of a water trap. Ray Floyd. Any ham-fisted gorilla can grab a club. Start whacking away at the ball. However, if your goal is to improve your swing, the first step is to pay attention to the way you hold your club.|The evolution of investment analysis dates back to the very beginnings of human society. Going back to the barter and gift economies that eventually gave birth to commodity money the concept of analysing the value of investments was a big part of the development of societies as we know them today. However, investment analysis has come a long way since those first intuitive musings, developing into a multi-disciplinary, mathematically modelled industry that manages billions of dollars worth of investment worldwide. As the process of analysing economic and market trends has built in terms of size, scale and reach, so too has the sophistication of investment analysis tools and processes. The abacas was first out the window, despite its long time standing, and in stepped notations and equations, helped greatly by the 20th Century introduction of the calculator. However, things changed forever as the early systems for calculations developed into room sized computers, and eventually personal computers spread throughout the investment world to take up the strain. cats

















































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