1 citations · 1 across the 2 of their papers we have counts for
4 papers
CharacterShot: Controllable and Consistent 4D Character Animation
Junyao Gao, Jiaxing Li, Wenran Liu +5
In this paper, we propose \textbf{CharacterShot}, a controllable and consistent 4D character animation framework that enables any individual designer to create dynamic 3D character…
One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models
Jiale Zhao, Xinyang Jiang, Junyao Gao +2
Unified vision-language models(VLMs) have recently shown remarkable progress, enabling a single model to flexibly address diverse tasks through different instructions within a shar…
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
Yuhao Xue, Zhifei Zhang, Xinyang Jiang +6
Adversarial attacks exploiting unrestricted natural perturbations present severe security risks to deep learning systems, yet their transferability across models remains limited du…
FaceShot: Bring Any Character into Life
Junyao Gao, Yanan Sun, Fei Shen +4
In this paper, we present FaceShot, a novel training-free portrait animation framework designed to bring any character into life from any driven video without fine-tuning or retrai…