Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation

ArXi:2510.24211v2 Announce Type: replace Autoregressive (AR) modeling has recently emerged as a promising new paradigm in visual generation, but its practical adoption is severely constrained by the slow inference speed of per-token generation, which often requires thousands of steps to produce a single sample. While several Speculative Decoding (SD)-based methods have been proposed to solve this problem by generating multiple tokens in a single forward step, they suffer from limited speedup, degraded quality, or require the.