2 citations · 2 across the 4 of their papers we have counts for
4 papers
Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation
Junhyuk Jeon, Seokhyeon Hong, Junyong Noh
Text-driven motion diffusion models are capable of generating realistic human motions, but text alone often struggles to express fine-level nuances of motion, commonly referred to…
StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition
Kwan Yun, Changmin Lee, Ayeong Jeong +3
Creative face stylization aims to render portraits in diverse visual idioms such as cartoons, sketches, and paintings while retaining recognizable identity. However, current identi…
X-AVDT: Audio-Visual Cross-Attention for Robust Deepfake Detection
Youngseo Kim, Kwan Yun, Seokhyeon Hong +3
The surge of highly realistic synthetic videos produced by contemporary generative systems has significantly increased the risk of malicious use, challenging both humans and existi…
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models
Kurtis Evan David, Harrison Keane, Jun Min Noh
We extend and improve the work of Model Agnostic Anchors for explanations on image classification through the use of generative adversarial networks (GANs). Using GANs, we generate…