AiM: An Autoregressive (AR) Image Generative Model based on Mamba Architecture

Practical Solutions and Value of AiM: An Autoregressive (AR) Image Generative Model based on Mamba Architecture Overview AiM is an autoregressive image generation model based on the Mamba framework. It is designed to efficiently generate high-quality images and is the first of its kind. AiM utilizes positional encoding and a new adaptive layer normalization method called adaLN-Group, optimizing the balance between performance and parameter count. It has demonstrated state-of-the-art performance among autoregressive models (AMs) on the ImageNet 256×256 benchmark while achieving fast inference speeds. Challenges and Solutions To address challenges in autoregressive visual generation (AVG), existing methods include Vector Quantization (VQ) based models and State Space Models (SSMs). VQ-based approaches compress images into discrete codes and use AMs to predict these codes. SSMs, particularly the Mamba family, have shown potential in managing long sequences with linear computational complexity. Evaluation and Performance AiM was developed in four scales and evaluated on the ImageNet1K benchmark to assess its architectural design, performance, scalability, and inference efficiency. It achieved state-of-the-art performance among AMs such as GANs, diffusion models, masked generative models, and Transformer-based AMs. Additionally, AiM has a clear advantage in inference speed compared to other models, with Transformer-based models benefiting from Flash-Attention and KV Cache optimizations. Conclusion and Future Directions The effectiveness and efficiency of AiM highlight its scalability and wide applicability in autoregressive visual modeling. However, it focuses solely on class-conditional generation, leaving room for future research to explore text-to-image generation using state space models like Mamba. AI Solutions for Business Leverage AiM to evolve your company with AI and stay competitive. Identify Automation Opportunities, Define KPIs, Select an AI Solution, and Implement Gradually. For AI KPI management advice, connect with us at hello@itinai.com. Stay updated on leveraging AI by following our Telegram @itinai and Twitter @itinaicom. Discover AI for Sales Processes and Customer Engagement Explore how AI can redefine your sales processes and customer engagement at itinai.com. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom