no code implementations • 24 Dec 2023 • Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
Accurately annotating multiple 3D objects in LiDAR scenes is laborious and challenging.
1 code implementation • 31 Mar 2023 • Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
Recent remarkable improvements in large-scale text-to-image generative models have shown promising results in generating high-fidelity images.
1 code implementation • 16 Aug 2022 • Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo
Editing hairstyle is unique and challenging due to the complexity and delicacy of hairstyle.
no code implementations • 21 Dec 2021 • Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
In order to perform unconditional video generation, we must learn the distribution of the real-world videos.
1 code implementation • 15 Nov 2021 • Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
We present a novel Animation CelebHeads dataset (AnimeCeleb) to address an animation head reenactment.
1 code implementation • 16 Oct 2020 • Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
Video generation models often operate under the assumption of fixed frame rates, which leads to suboptimal performance when it comes to handling flexible frame rates (e. g., increasing the frame rate of the more dynamic portion of the video as well as handling missing video frames).
no code implementations • 29 Nov 2019 • Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo
Disentangling content and style information of an image has played an important role in recent success in image translation.