1 citations · 2 across the 8 of their papers we have counts for
8 papers
AHS: Adaptive Head Synthesis via Synthetic Data Augmentations
Taewoong Kang, Hyojin Jang, Sohyun Jeong +4
Recent digital media advancements have created increasing demands for sophisticated portrait manipulation techniques, particularly head swapping, where one's head is seamlessly int…
TexAvatars : Hybrid Texel-3D Representations for Stable Rigging of Photorealistic Gaussian Head Avatars
Jaeseong Lee, Junyeong Ahn, Taewoong Kang +1
Constructing drivable and photorealistic 3D head avatars has become a central task in AR/XR, enabling immersive and expressive user experiences. With the emergence of high-fidelity…
EgoX: Egocentric Video Generation from a Single Exocentric Video
Taewoong Kang, Kinam Kim, Dohyeon Kim +3
Egocentric perception enables humans to experience and understand the world directly from their own point of view. Translating exocentric (third-person) videos into egocentric (fir…
SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation
Minho Park, Taewoong Kang, Jooyeol Yun +2
The increasing demand for AR/VR applications has highlighted the need for high-quality content, such as 360° live wallpapers. However, generating high-quality 360° panoramic conten…
Zero-Shot Head Swapping in Real-World Scenarios
Taewoong Kang, Sohyun Jeong, Hyojin Jang +1
With growing demand in media and social networks for personalized images, the need for advanced head-swapping techniques, integrating an entire head from the head image with the bo…
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
Jaeseong Lee, Taewoong Kang, Marcel C. Bühler +5
Recent advancements in head avatar rendering using Gaussian primitives have achieved significantly high-fidelity results. Although precise head geometry is crucial for applications…
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
Sungwon Hwang, Min-Jung Kim, Taewoong Kang +2
Neural rendering-based urban scene reconstruction methods commonly rely on images collected from driving vehicles with cameras facing and moving forward. Although these methods can…
Expression Domain Translation Network for Cross-domain Head Reenactment
Taewoong Kang, Jeongsik Oh, Jaeseong Lee +2
Despite the remarkable advancements in head reenactment, the existing methods face challenges in cross-domain head reenactment, which aims to transfer human motions to domains outs…