works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
most citedSimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

9 papers

cs.CV2026

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation

Zhongyi Zhang, Guangyuan Wang, Li Hu +6

The paper presents MultiAnimate, a framework that can animate several characters together in a shared scene while keeping each character's appearance and spatial relationships cons…

cs.CV20261 cited

SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models

Feifei Wang, Zhentao Tan, Tianyi Wei +2

Despite the success of diffusion-based customization methods on visual content creation, increasing concerns have been raised about such techniques from both privacy and political…

cs.GR2026

Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models

Armando Fortes, Tianyi Wei, Shangchen Zhou +1

Recent advances in large-scale text-to-image models have revolutionized creative fields by generating visually captivating outputs from textual prompts; however, while traditional…

cs.LG2026

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning

Weitao Feng, Lixu Wang, Peizhuo Lv +5

As large language models (LLMs) continue to grow in capability, so do the risks of harmful misuse through fine-tuning. While most prior studies assume that attackers rely on superv…

cs.CV2026

Rethinking Multi-Condition DiTs: Eliminating Redundant Attention via Position-Alignment and Keyword-Scoping

Chao Zhou, Tianyi Wei, Yiling Chen +2

While modern text-to-image models excel at prompt-based generation, they often lack the fine-grained control necessary for specific user requirements like spatial layouts or subjec…

cs.CV2025

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling

Chao Zhou, Tianyi Wei, Nenghai Yu

Recent advancements in unified image generation models, such as OmniGen, have enabled the handling of diverse image generation and editing tasks within a single framework, acceptin…