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Hyunho Kook

2 accepted papers

2026

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

ICML 2026poster

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 De…

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2025

Grouped Speculative Decoding for Autoregressive Image Generation

ICCV 2025poster

Recently, autoregressive (AR) image models have demonstrated remarkable generative capabilities, positioning themselves as a compelling alternative to diffusion models. However, their sequential nature leads to long inference times, limiting their practical scalability. In this work, we introduce Gr…