6 papers
Beyond Fixed Anchors: Precisely Erasing Concepts with Sibling Exclusive Counterparts
Tong Zhang, Ru Zhang, Jianyi Liu +2
Existing concept erasure methods for text-to-image diffusion models commonly rely on fixed anchor strategies, which often lead to critical issues such as concept re-emergence and e…
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
Xunpeng Huang, Yingyu Lin, Nikki Lijing Kuang +4
Continuous diffusion models have demonstrated remarkable performance in data generation across various domains, yet their efficiency remains constrained by two critical limitations…
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Nishant Jain, Xunpeng Huang, Yian Ma +1
Consistency models have recently emerged as a compelling alternative to traditional SDE-based diffusion models. They offer a significant acceleration in generation by producing hig…
Capturing Conditional Dependence via Auto-regressive Diffusion Models
Xunpeng Huang, Yujin Han, Difan Zou +2
Diffusion models have demonstrated appealing performance in both image and video generation. However, many works discover that they struggle to capture important, high-level relati…
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling
Xunpeng Huang, Hanze Dong, Difan Zou +1
Understanding the dimension dependency of computational complexity in high-dimensional sampling problem is a fundamental problem, both from a practical and theoretical perspective.…
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
Xunpeng Huang, Difan Zou, Hanze Dong +2
To sample from a general target distribution beyond the isoperimetric condition, Huang et al. (2023) proposed to perform sampling through reverse diffusion, g…