37 citations · 70 across the 7 of their papers we have counts for
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cs.LG2023★ 10 cited
GLIME: General, Stable and Local LIME Explanation
Zeren Tan, Yang Tian, Jian Li
As black-box machine learning models grow in complexity and find applications in high-stakes scenarios, it is imperative to provide explanations for their predictions. Although Loc…
cs.CV2023★ 23 cited
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo, Yiqin Tan, Suraj Patil +6
Latent Consistency Models (LCMs) have achieved impressive performance in accelerating text-to-image generative tasks, producing high-quality images with minimal inference steps. LC…
cs.CV2023★ 37 cited
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Simian Luo, Yiqin Tan, Longbo Huang +2
Latent Diffusion models (LDMs) have achieved remarkable results in synthesizing high-resolution images. However, the iterative sampling process is computationally intensive and lea…