Youngjung Uh* — accepted AI-conference papers

2024

HARIVO: Harnessing Text-to-Image Models for Video Generation

Mingi Kwon, Seoung Wug Oh, Yang Zhou, Joon-Young Lee, Difan Liu, Haoran Cai +3

ECCV 2024poster

"We present a method to create diffusion-based video models from pretrained Text-to-Image (T2I) models. Recently, AnimateDiff proposed freezing the T2I model while only training temporal layers. We advance this method by proposing a unique architecture, incorporating a mapping network and frame-wise…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2024

Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting

Jeongmin Bae, Seoha Kim, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh*

ECCV 2024poster

"As 3D Gaussian Splatting (3DGS) provides fast and high-quality novel view synthesis, it is a natural extension to deform a canonical 3DGS to multiple frames for representing a dynamic scene. However, previous works fail to accurately reconstruct complex dynamic scenes. We attribute the failure to t…

Cited by 38 Source ↗PDF ↗code ↗Scholar ↗