Introduction On August 30, 2019, an AI face-swapping app developed by Beijing Momo Technology Co., Ltd. was launched in major mobile app markets. According to reports, users only need to upload a frontal photo of themselves, and the software can use AI technology to swap the face of a celebrity in a video, generating a … Read more
Source: DeepHub IMBA This article is about 3800 words, and it is recommended to read in 5 minutes. Since the release of diffusion models, the attention and papers on GANs have decreased significantly, but some ideas within them are still worth understanding and learning. Therefore, in this article, we will implement SN-GAN using PyTorch. Spectral … Read more
The invention of the vacuum tube was a significant driving force in the development of the electronics industry. However, after World War II, the need for a large number of discrete components significantly increased the complexity and power consumption of devices, while their performance continuously declined. One example is the Boeing B-29, which consisted of … Read more
Nature Communications 2020 Jan 9 IF: 17.694 Introduction: GAN includes a generator that outputs realistic silicon-generated samples. This is achieved through a neural network that learns to transform a simple low-dimensional distribution into a high-dimensional distribution, which is indistinguishable from the actual training distribution. In this paper, the authors establish a single-cell GAN (scGAN) to … Read more
AI painting is one branch of AIGC, which has been in the spotlight and controversy, and was even dubbed the “AIGC Year” in 2022. With the popularity of AI painting, one of the core technologies behind it, the Diffusion Model, has also gained immense popularity in the field of image generation, and it seems to … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered at the first time! Source | Big Data Digest Translation | Ao🌰viYa, Meat Bun, Andy This article by Denny Britz summarizes the important ideas in deep learning over time, recommended for newcomers, listing almost all the key ideas since 2012 that have supported … Read more
Recently, Dr. Kai-Fu Lee, the chairman and CEO of Innovation Works, in collaboration with science fiction writer Chen Qiufan, published a new book “The Future of AI in Progress”, creatively merging technology with science fiction to envision the human world 20 years from now under the influence of technologies such as artificial intelligence. As a … Read more
This article discusses the development, principles, and code practices of diffusion models. The catalyst for diffusion models began with the introduction of DDPM (Denoising Diffusion Probabilistic Model) in 2020. Before delving into the details of how the Denoising Diffusion Probabilistic Model (DDPM) works, let’s first look at some developments in existing generative artificial intelligence, which … Read more
Source: Machine Learning Algorithms<br/><br/> This article is approximately 6500 words long and is suggested to take 13 minutes to read. This article provides a complete introduction to the necessary knowledge about diffusion models and implements it fully using PyTorch. The trigger for diffusion models began with the introduction of the Denoising Diffusion Probabilistic Model (DDPM) … Read more
Generative AI refers to a class of artificial intelligence systems that can learn from existing data and generate new data, thereby achieving functions similar to human creativity. Unlike traditional AI systems, generative AI systems can create new content on their own rather than merely processing input data. It can be realized through various technologies such … Read more