Abstract: The foundation of current large language model applications lies in the generative language model, which typically employs an autoregressive token generation approach. However, this model ...

According to @krea_ai, the company has open-sourced Krea Realtime, a 14 billion parameter autoregressive AI model that is 10 times larger than any other open-source equivalent. This breakthrough model ...

This repository implements PixelCNN, an autoregressive model for image generation. It generates images pixel by pixel using masked convolutions to maintain directional dependencies. During inference, ...

Autoregressive Transformer models have demonstrated impressive performance in video generation, but their sequential token-by-token decoding process poses a major bottleneck, particularly for long ...

Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses ...

Diffusion models, like Stable Diffusion and DALL-E, create highly detailed images by gradually removing random noise from each pixel. This process is repeated multiple times (sometimes 30+ steps), ...

Recent advancements in training large multimodal models have been driven by efforts to eliminate modeling constraints and unify architectures across domains. Despite these strides, many existing ...

Autoregressive image generation models have traditionally relied on vector-quantized representations, which introduce several significant challenges. The process of vector quantization is ...