99 citations · 107 across the 7 of their papers we have counts for
9 papers
Elevating Flow-Guided Video Inpainting with Reference Generation
Suhwan Cho, Seoung Wug Oh, Sangyoun Lee +1
Video inpainting (VI) is a challenging task that requires effective propagation of observable content across frames while simultaneously generating new content not present in the o…
IF-MDM: Implicit Face Motion Diffusion Model for High-Fidelity Realtime Talking Head Generation
Sejong Yang, Seoung Wug Oh, Yang Zhou +1
We introduce a novel approach for high-resolution talking head generation from a single image and audio input. Prior methods using explicit face models, like 3D morphable models (3…
MaGGIe: Masked Guided Gradual Human Instance Matting
Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava +1
Human matting is a foundation task in image and video processing, where human foreground pixels are extracted from the input. Prior works either improve the accuracy by additional…
Tracking Anything with Decoupled Video Segmentation
Ho Kei Cheng, Seoung Wug Oh, Brian Price +2
Training data for video segmentation are expensive to annotate. This impedes extensions of end-to-end algorithms to new video segmentation tasks, especially in large-vocabulary set…
Per-Clip Video Object Segmentation
Kwanyong Park, Sanghyun Woo, Seoung Wug Oh +2
Recently, memory-based approaches show promising results on semi-supervised video object segmentation. These methods predict object masks frame-by-frame with the help of frequently…
One-Trimap Video Matting
Hongje Seong, Seoung Wug Oh, Brian Price +2
Recent studies made great progress in video matting by extending the success of trimap-based image matting to the video domain. In this paper, we push this task toward a more pract…