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Xiaoliu Guan

2 accepted papers

2026

Sortblock: Similarity-Aware Feature Reuse for Diffusion Model

AAAI 2026technical

Diffusion Transformers (DiTs) have demonstrated remarkable generative capabilities, particularly benefiting from Transformer architectures that enhance visual and artistic fidelity. However, their inherently sequential denoising process results in high inference latency, limiting their deployment in

Cited by 0SourcePDFScholar
2024

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models

ECCV 2024poster

"Diffusion models, known for their tremendous ability to generate novel and high-quality samples, have recently raised concerns due to their data memorization behavior, which poses privacy risks. Recent approaches for memory mitigation either only focused on the text modality problem in cross-modal…