Method · Diffusion-based synthesis
SCG
Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
Ziang Gan, Qi Zhu, Libao Zhang
ICML 2026 · first public 2026-01
In one paragraph
Proposes a plug-and-play auxiliary controller that coordinates diffusion sampling across an entire per-class image budget at once ('IPC-at-once') rather than image by image, injecting set-symmetric feedback at each denoising step so the generated set is coordinated as a group instead of independently sampled.
Where it sits
- Diffusion-based synthesis (Generative priors)
- Setting: Image classification
BibTeX (generated; prefer the venue's official entry)
@article{gan2026coupled,
title = {Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation},
author = {Ziang Gan and Qi Zhu and Libao Zhang},
journal = {ICML 2026},
year = {2026}
}Nearby in Diffusion-based synthesis
Learnability-guided diffusion — Learnability-Guided Diffusion for Dataset Distillation
Jeffrey A. Chan-Santiago, Mubarak Shah · CVPR 2026notablepaper ↗
ManifoldGD — ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
Ayush Roy, Wei-Yang Alex Lee, Rudrasis Chakraborty et al. · CVPR 2026notablepaper ↗code ↗