4 papers
Sortblock: Similarity-Aware Feature Reuse for Diffusion Model
Hanqi Chen, Xu Zhang, Xiaoliu Guan +4
Diffusion Transformers (DiTs) have demonstrated remarkable generative capabilities, particularly benefiting from Transformer architectures that enhance visual and artistic fidelity…
Forecasting When to Forecast: Accelerating Diffusion Models with Confidence-Gated Taylor
Xiaoliu Guan, Lielin Jiang, Hanqi Chen +6
Diffusion Transformers (DiTs) have demonstrated remarkable performance in visual generation tasks. However, their low inference speed limits their deployment in low-resource applic…
Redistribute Ensemble Training for Mitigating Memorization in Diffusion Models
Xiaoliu Guan, Yu Wu, Huayang Huang +3
Diffusion models, known for their tremendous ability to generate high-quality samples, have recently raised concerns due to their data memorization behavior, which poses privacy ri…
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
Xiao Liu, Xiaoliu Guan, Yu Wu +1
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…