1.5k citations · 1.6k across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 61 cited
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine +2
Text-to-image synthesis has recently seen significant progress thanks to large pretrained language models, large-scale training data, and the introduction of scalable model familie…
cs.CV2022
Disentangling Random and Cyclic Effects in Time-Lapse Sequences
Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi +3
Time-lapse image sequences offer visually compelling insights into dynamic processes that are too slow to observe in real time. However, playing a long time-lapse sequence back as…
cs.NE2016★ 1.5k cited
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
In this paper, we present a simple and efficient method for training deep neural networks in a semi-supervised setting where only a small portion of training data is labeled. We in…