no code implementations • 21 Mar 2024 • Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak
In a surge of text-to-image (T2I) models and their customization methods that generate new images of a user-provided subject, current works focus on alleviating the costs incurred by a lengthy per-subject optimization.
no code implementations • 5 Dec 2023 • Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak
Finally, we decouple the motion from the appearance of the source video with an additional pseudo word.
no code implementations • 9 Oct 2022 • Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee
Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) \cite{ost2021neural} extends it to dynamic scenes (video) with multiple objects.
1 code implementation • 10 Sep 2021 • Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
To alleviate this problem, dynamic pruning methods have emerged, which try to find diverse sparsity patterns during training by utilizing Straight-Through-Estimator (STE) to approximate gradients of pruned weights.
1 code implementation • 27 Jul 2020 • Jaeseok Choi, Yeji Song, Nojun Kwak
In this paper, we propose part-aware data augmentation (PA-AUG) that can better utilize rich information of 3D label to enhance the performance of 3D object detectors.