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most citedAdversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey

4 citations · 7 across the 14 of their papers we have counts for

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cs.CV2024

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding

Chenxin Tao, Shiqian Su, Xizhou Zhu +8

The rapid advance of Large Language Models (LLMs) has catalyzed the development of Vision-Language Models (VLMs). Monolithic VLMs, which avoid modality-specific encoders, offer a p…

cs.CV2024

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors

Ziang Xu, Bin Li, Yang Hu +4

Accurate 3D mapping in endoscopy enables quantitative, holistic lesion characterization within the gastrointestinal (GI) tract, requiring reliable depth and pose estimation. Howeve…

cs.CV2024

A New People-Object Interaction Dataset and NVS Benchmarks

Shuai Guo, Houqiang Zhong, Qiuwen Wang +6

Recently, NVS in human-object interaction scenes has received increasing attention. Existing human-object interaction datasets mainly consist of static data with limited views, off…

cs.LG2024★ 1 cited

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu +4

In recent times, the swift evolution of adversarial attacks has captured widespread attention, particularly concerning their transferability and other performance attributes. These…

cs.CR2024★ 4 cited

Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey

Chenyu Zhang, Mingwang Hu, Wenhui Li +1

Recently, the text-to-image diffusion model has gained considerable attention from the community due to its exceptional image generation capability. A representative model, Stable…

cs.CV2024★ 2 cited

Revealing Vulnerabilities in Stable Diffusion via Targeted Attacks

Chenyu Zhang, Lanjun Wang, Anan Liu

Recent developments in text-to-image models, particularly Stable Diffusion, have marked significant achievements in various applications. With these advancements, there are growing…