Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast

Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast. Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction" An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! - FoundationVision/VAR

GitHub FoundationVision/VAR [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in
GitHub FoundationVision/VAR [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in from github.com

We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines. 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

GitHub FoundationVision/VAR [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in

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". 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 🔥 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".

Autoregressive Model Beats Diffusion Llama for Scalable Image Generation AI Research Paper. 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". 🔥 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".

Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale. 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"