8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Generalizable Human Gaussians for Sparse View Synthesis
Youngjoong Kwon, Baole Fang, Yixing Lu +9
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR,…
cs.CV2023★ 8 cited
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs +2
Generating controllable and photorealistic digital human avatars is a long-standing and important problem in Vision and Graphics. Recent methods have shown great progress in terms…
cs.CV2023★ 1 cited
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1
We present a method that enables synthesizing novel views and novel poses of arbitrary human performers from sparse multi-view images. A key ingredient of our method is a hybrid ap…