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Chaeyeon Jang

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

PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models

CVPR 2025poster

Recently, diffusion models have achieved significant advances in vision, text, and robotics. However, they still face slow generation speeds due to sequential denoising processes. To address this, a parallel sampling method based on Picard iteration was introduced, effectively reducing sequential st…

Cited by 0SourcePDFScholar