1 citations · 1 across the 7 of their papers we have counts for
10 papers
DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing
Jae-Ho Lee, Jeong-Eun Lee, Gyeong-Moon Park
Large vision-language models (LVLMs) have recently achieved remarkable progress across multimodal tasks, yet object hallucination remains a persistent challenge where models genera…
OSVE: One Step Video Editing with One Step Diffusion Models
Habin Lim, Gyeong-Moon Park
Text-guided video editing with diffusion models is impractically slow, hindered by costly multi-step sampling and inversion. We present OSVE, the first framework to successfully ad…
FacePlex: Toward Natural Full-Duplex Conversational Avatars
Habin Lim, Jae-Ho Lee, Hah Min Lew +4
Natural human conversation is inherently a real-time interaction in which speech and facial behavior continuously evolve. Enabling such interaction requires a conversational avatar…
Continual Speaker Identity Unlearning with Minimal Interference
Jinju Kim, Yunsung Kang, Gyeong-Moon Park +1
Machine unlearning removes designated concepts or knowledge from pre-trained models. Recent work has extended this paradigm to speaker identity unlearning in zero-shot text-to-spee…
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
Tae-Young Lee, Juwon Seo, Jong Hwan Ko +1
Recent advances in diffusion models have enabled high-quality synthesis of specific subjects, such as identities or objects. This capability, while unlocking new possibilities in c…
Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Taesoo Kim, Jinju Kim, Dongchan Kim +2
The rapid advancement of Zero-Shot Text-to-Speech (ZS-TTS) technology has enabled high-fidelity voice synthesis from minimal audio cues, raising significant privacy and ethical con…
GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar
SeungJun Moon, Hah Min Lew, Seungeun Lee +2
Despite recent progress in 3D head avatar generation, balancing identity preservation, i.e., reconstruction, with novel poses and expressions, i.e., animation, remains a challenge.…
EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation
Seungjun Moon, Sangjoon Yu, Gyeong-Moon Park
The rapid advancement of neural radiance fields (NeRF) has paved the way to generate animatable human avatars from a monocular video. However, the sole usage of NeRF suffers from a…
Generative Unlearning for Any Identity
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee +2
Recent advances in generative models trained on large-scale datasets have made it possible to synthesize high-quality samples across various domains. Moreover, the emergence of str…
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion
Seungjun Moon, Gyeong-Moon Park
Recently, manipulation of real-world images has been highly elaborated along with the development of Generative Adversarial Networks (GANs) and corresponding encoders, which embed…