← Search

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…

Cited by 0SourceScholar
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…