19 citations · 25 across the 4 of their papers we have counts for
5 papers
LPMM: Intuitive Pose Control for Neural Talking-Head Model via Landmark-Parameter Morphable Model
Kwangho Lee, Patrick Kwon, Myung Ki Lee +2
While current talking head models are capable of generating photorealistic talking head videos, they provide limited pose controllability. Most methods require specific video seque…
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
Byungjun Kim, Patrick Kwon, Kwangho Lee +4
We propose a 3D generation pipeline that uses diffusion models to generate realistic human digital avatars. Due to the wide variety of human identities, poses, and stochastic detai…
Cross-Domain Style Mixing for Face Cartoonization
Seungkwon Kim, Chaeheon Gwak, Dohyun Kim +4
Cartoon domain has recently gained increasing popularity. Previous studies have attempted quality portrait stylization into the cartoon domain; however, this poses a great challeng…
Unsupervised Image-to-Image Translation with Self-Attention Networks
Taewon Kang, Kwang Hee Lee
Unsupervised image translation aims to learn the transformation from a source domain to another target domain given unpaired training data. Several state-of-the-art works have yiel…
Arbitrary Style Transfer with Style-Attentional Networks
Dae Young Park, Kwang Hee Lee
Arbitrary style transfer aims to synthesize a content image with the style of an image to create a third image that has never been seen before. Recent arbitrary style transfer algo…