Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast. Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale 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
Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction from www.linkedin.com
🔥 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". The VAR framework reconceptualizes the autoregressive modeling on images by shifting from next-token prediction to next-scale prediction approach, a process under which instead of being a single token, the autoregressive unit is an entire token map.
Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale 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". 🔥 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
Autoregressive Model Beats Diffusion Llama for Scalable Image Generation AI Research Paper. This simple, intuitive methodology allows autoregressive An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! - FoundationVision/VAR
Scalable Pretraining of Large Autoregressive Image Models YouTube. Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang 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"