Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast

Visual Autoregressive Scalable Image Generation Via Next Scale Prediction 2025 Forecast. Towards Accurate Image Coding Improved Autoregressive Image Generation with Dynamic Vector This simple, intuitive methodology allows autoregressive 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.

Autoregressive Generative Models in depth Part 1 Thomas Jubb
Autoregressive Generative Models in depth Part 1 Thomas Jubb from thomasjubb.blog

approach begins by encoding an image into multi-scale token maps.The autoregressive process is then started from the 1脳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. We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines.

Autoregressive Generative Models in depth Part 1 Thomas Jubb

馃敟 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 3 Method 3.1 Preliminary: autoregressive modeling via next-token prediction

[2404.02905] Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction. Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction Keyu Tian 路 Yi Jiang 路 Zehuan Yuan 路 BINGYUE PENG 路 Liwei Wang East Exhibit Hall A-C #3009 [ Abstract 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"

Visual Autoregressive Modeling Scalable Image Generation via NextScale Prediction Papers. 3 Method 3.1 Preliminary: autoregressive modeling via next-token prediction An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! - FoundationVision/VAR