What are Diffusion Models?
Date: July 11, 2021 | Estimated Reading Time: 32 min | Author: Lilian Weng [Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08-31: Added latent diffusion model. [Updated on 2024-04-13: Added prog
Reproducing Japanese Anime Styles With CartoonGAN AI
From Hayao Miyazaki’s Spirited Away to Satoshi Kon’s Paprika, Japanese anime has made it okay for adults everywhere to enjoy cartoons again. Now, a team of Tsinghua University and Cardiff University researchers have introduced CartoonGAN — an AI-powered technology that simulates the styles of Japanese anime maestri from snapshots of real world scenery. Anime has distinct aesthetics, and traditiona
ジョージア工科大学とGoogle Brain、GANの学習プロセスをリアルタイムに可視化するWebブラウザベースの対話型視覚化ツール「GAN Lab」を発表
ジョージア工科大学とGoogle Brain、GANの学習プロセスをリアルタイムに可視化するWebブラウザベースの対話型視覚化ツール「GAN Lab」を発表 2018-10-05 ジョージア工科大学とGoogle Brainの研究者らは、敵対的生成ネットワーク「Generative Adversarial Networks（GAN）」の学習プロセスを可視化するインタラクティブ視覚化ツール「GAN Lab」を発表しました。 論文：GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation 著者：Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viegas, Martin Watte
BigGAN: A New State of the Art in Image Synthesis
“Best GAN samples ever yet? Very impressive ICLR submission! BigGAN improves Inception Scores by >100.” The above Tweet is from renowned Google DeepMind research scientist Oriol Vinyals. It was retweeted last week by Google Brain researcher and “Father of Generative Adversarial Networks” Ian Goodfellow, and picked up momentum and praise from AI researchers on social media. All the attention surrou
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