AI RESEARCH
FasterVAR: Plug-and-Play Acceleration for Visual Autoregressive Models
arXiv CS.CV
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ArXi:2512.16483v2 Announce Type: replace Visual Autoregressive (VAR) modeling departs from the next-token prediction paradigm of traditional Autoregressive (AR) models through next-scale prediction, enabling high-quality image generation. However, the VAR paradigm suffers from sharply increased computational complexity and running time at large-scale steps. Although existing acceleration methods reduce runtime for large-scale steps, but rely on manual step selection and overlook the varying importance of different stages in the generation process.