2 citations · 2 across the 4 of their papers we have counts for
6 papers · 1 filter
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…
Deep Learning Based Facial Retargeting Using Local Patches
Yeonsoo Choi, Inyup Lee, Sihun Cha +3
In the era of digital animation, the quest to produce lifelike facial animations for virtual characters has led to the development of various retargeting methods. While the retarge…
SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing
Seokhyeon Hong, Chaelin Kim, Serin Yoon +3
Text-driven motion generation has advanced significantly with the rise of denoising diffusion models. However, previous methods often oversimplify representations for the skeletal…
NeRFFaceSpeech: One-shot Audio-driven 3D Talking Head Synthesis via Generative Prior
Gihoon Kim, Kwanggyoon Seo, Sihun Cha +1
Audio-driven talking head generation is advancing from 2D to 3D content. Notably, Neural Radiance Field (NeRF) is in the spotlight as a means to synthesize high-quality 3D talking…
LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example
Soyeon Yoon, Kwan Yun, Kwanggyoon Seo +3
Recent advances in 3D face stylization have made significant strides in few to zero-shot settings. However, the degree of stylization achieved by existing methods is often not suff…
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks
Sihun Cha, Kwanggyoon Seo, Amirsaman Ashtari +1
There has been significant progress in generating an animatable 3D human avatar from a single image. However, recovering texture for the 3D human avatar from a single image has bee…