Rongge Mao

LazyVAR: Accelerating Visual Autoregressive Models via Scale-wise Token Pruning and Parallel Group Decoding

Visual Autoregressive (VAR) modeling introduces a new paradigm for image generation by extending autoregressive mechanisms from next-token prediction to next-scale prediction, achieving remarkable performance. However, as the number of tokens increases rapidly with scale, processing full token maps