Autoregressive Models in Deep Learning — A Brief Survey Ho

Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast. "Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction", Tian et We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine "next. 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. We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine "next.

Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction Papers

Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang 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. This simple, intuitive methodology allows autoregressive (AR) transformers to learn visual distributions fast and generalize.

Scalable Pretraining of Large Autoregressive Image Models YouTube. 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. Visual-AutoRegressive Modeling via Next-Scale Prediction

Paper Review Visual Autoregressive Modeling Scalable Image Generation via NextScale. [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl 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".