Yann LeCun highly affirms GAN. Introduction: Generative Adversarial Networks (GAN) is a generative model proposed by Ian Goodfellow et al. in 2014. Researcher Wang Feiyue and others elaborated on the research progress and development trends of GAN in the third issue of the Journal of Automation. They first summarized the background, theory, implementation models, and … Read more
Table of Contents What is GAN? What Can GAN Do? Framework and Training of GAN Similarities and Differences Between GAN and Other Generative Models Existing Issues with GAN Models Introduction: GAN has gained significant popularity in the field of images over the past year, and there is a recent trend of it making inroads into … Read more
The storm of GANs has swept through the entire deep learning community, making any task seem high-end as soon as it is wrapped in a GAN shell. So, what exactly is GAN? This article is packed with valuable information, perfect for saving! At the end of the article, there is additional GAN resources for everyone … Read more
Metaverse & Generative Artificial Intelligence Thoughts What is Generative Artificial Intelligence? A type of artificial intelligence model capable of generating new, original content. These models are typically based on deep learning technologies and can learn from input data to generate new data or text. They have achieved success in many fields such as image generation … Read more
0. Introduction This article reviews deep generative models, particularly diffusion models, and how they endow machines with human-like imagination. Diffusion models show great potential in generating realistic samples, overcoming the posterior distribution alignment obstacles in variational autoencoders and alleviating the instability of adversarial objectives in generative adversarial networks. Diffusion models consist of two interconnected processes: … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between academia, industry, and enthusiasts in natural language processing and machine learning, especially for beginners. Reprinted from … Read more
Source: PaperWeekly This article is about 8700 words, and it is recommended to read for 15+minutes This article briefly summarizes the derivation process of diffusion models from a unified perspective. Source This article is a compilation of some technical blogs and overviews that I recently read about diffusion models, mainly referencing Calvin Luo’s paper, aimed … Read more
Practice Speaking Every Day Practice with me every day for 5 minutes Eliminate Fake English Kill Fake English Warm Reminder: Readers with zero foundation, please click the audio in the article to listen to the pronunciation~ Check previous slang notes Please click on this account’s avatar to view the history Search and follow the official … Read more
Datawhale Insights Author: Eternity, Datawhale Member Take Home Message: Janus is a simple, unified, and scalable multimodal understanding and generation model that decouples visual encoding from multimodal understanding and generation, alleviating potential conflicts between the two tasks. In the future, it can be expanded to incorporate more input modalities. Janus-Pro builds on this foundation, optimizing … Read more
Recently, Retrieval-Augmented Generation (RAG) has garnered widespread attention in the AI field, becoming a focal point of discussion among many researchers and developers. As a technology that combines retrieval with generation, RAG demonstrates the potential to achieve outstanding results in various tasks such as question answering, dialogue generation, and text summarization. Its emergence provides a … Read more