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SyncQ-DiT: Synchronizing activation dynamics for quantizing diffusion transformers

delete2026-05-20
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PRE
AI
W
Wenjie Zheng
胡
胡浩基 (Haoji Hu) *
X
Xingze Zou
J
Jing Wang
L
Lianrui Mu
DOI:10.1016/j.neucom.2026.133975delete
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Abstract

Abstract

En 中文
• We propose SyncQ-DiT, a temporal anomaly-aware PTQ framework for DiTs. • ARC synchronizes timestep-varying anomaly channels for precise low-bit scaling. • ATG clusters timesteps by anomaly distributions to reduce calibration cost. • RGQ reorders channels to minimize intra-group variance in group quantization. • SyncQ-DiT achieves state-of-the-art W4A4 PTQ performance on DiT and PixArt.
Keywords:
SyncQ-DiT
PTQ
diffusion transformers
quantization
anomaly-aware

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

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Cited Papers

Cited Papers

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