Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast. AI Summary Style Aligned Image Generation via Shared Attention We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines. This simple, intuitive methodology allows autoregressive (AR) transformers to learn visual distributions fast and generalize.
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An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! - FoundationVision/VAR of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"
Visual Autoregressive Modeling Scalable Image Generation Via NextScale Prediction PDF
approach begins by encoding an image into multi-scale token maps.The autoregressive process is then started from the 1×1 token map, and progressively expands in resolution: at each step, the transformer predicts the next higher-resolution token map conditioned on all previous ones. 🔥 Introducing VAR: a new paradigm in autoregressive visual generation : Visual Autoregressive Modeling (VAR) redefines the autoregressive learning on images as coarse-to-fine "next-scale prediction" or "next-resolution prediction", diverging from the standard raster-scan "next-token prediction". 3.1 Preliminary: autoregressive modeling via next-token prediction; 3.2 Visual autoregressive modeling via next-scale prediction; 3.3 Implementation details; 4 Empirical Results
Evolutionaryscale prediction of atomiclevel protein structure with a language model Science. Results suggest VAR has initially emulated the two important properties of LLMs: Scaling Laws and zero-shot task generalization, and it is empirically verified that VAR outperforms the Diffusion Transformer in multiple dimensions including image quality, inference speed, data efficiency, and scalability 3 Method 3.1 Preliminary: autoregressive modeling via next-token prediction
Figure 2 from Exploring Stochastic Autoregressive Image Modeling for Visual Representation. 4.1 State-of-the-art image generation; 4.2 Power-law scaling laws; 4.3 Zero-shot task generalization; 4.4 Ablation Study; 5 Future Work; 6 Conclusion; A Token. We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines.