Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast. Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction 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 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".
What Are Large Language Model (LLM) Agents and Autonomous Agents from promptengineering.org
An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! - FoundationVision/VAR This simple, intuitive methodology allows autoregressive
What Are Large Language Model (LLM) Agents and Autonomous Agents
This simple, intuitive methodology allows autoregressive (AR) transformers to learn visual distributions fast and generalize. 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 [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl
Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale. 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. 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
Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction. Visual-AutoRegressive Modeling via Next-Scale Prediction We present Visual AutoRegressive modeling (VAR), a new generation paradigm that 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".