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20202026
most citedCones: Concept Neurons in Diffusion Models for Customized Generation

19 citations · 40 across the 18 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models

Kecheng Zheng, Wei Wu, Ruili Feng +6

Prompt tuning and adapter tuning have shown great potential in transferring pre-trained vision-language models (VLMs) to various downstream tasks. In this work, we design a new typ…

cs.CV2023★ 2 cited

Lipschitz Singularities in Diffusion Models

Zhantao Yang, Ruili Feng, Han Zhang +8

Diffusion models, which employ stochastic differential equations to sample images through integrals, have emerged as a dominant class of generative models. However, the rationality…

cs.CV2023★ 8 cited

Cones 2: Customizable Image Synthesis with Multiple Subjects

Zhiheng Liu, Yifei Zhang, Yujun Shen +7

Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, exist…

cs.CV2023★ 19 cited

Cones: Concept Neurons in Diffusion Models for Customized Generation

Zhiheng Liu, Ruili Feng, Kai Zhu +6

Human brains respond to semantic features of presented stimuli with different neurons. It is then curious whether modern deep neural networks admit a similar behavior pattern. Spec…

cs.MA2023★ 1 cited

DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning

Xunhan Hu, Jian Zhao, Wengang Zhou +2

Cooperative multi-agent reinforcement learning (MARL) is a challenging task, as agents must learn complex and diverse individual strategies from a shared team reward. However, exis…