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Yawen Zou

2 accepted papers

2026

EVLF: Early Vision-Language Fusion for Generative Dataset Distillation

CVPR 2026

Dataset distillation (DD) aims to synthesize compact training sets that enable models to achieve high accuracy with significantly fewer samples. Recent diffusion-based DD methods commonly introduce semantic guidance through late-stage cross-attention, where textual prompts tend to dominate the gener

Cited by 0SourcecodeScholar
2025

Dataset Distillation via Vision-Language Category Prototype

ICCV 2025poster

Dataset distillation (DD) condenses large datasets into compact yet informative substitutes, preserving performance comparable to the original dataset while reducing storage, transmission costs, and computational consumption. However, previous DD methods mainly focus on distilling information from i…