2 citations · 3 across the 6 of their papers we have counts for
6 papers
Making Implicit Preservation Intent Explicit in Conversational Image Editing
Soomin Han, Jihyung Ahn, Bumsoo Kim +1
Conversational image editing requires preserving not only visible content, but also content that temporarily disappears across turns. When newly added or modified content occludes…
MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation
YoonJe Kang, Yonghoon Jung, Wonseop Shin +2
In this paper, we present synthetic data generation framework for flood hazard detection system. For high fidelity and quality, we characterize several real-world properties into v…
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
Bumsoo Kim, Sanghyun Byun, Yonghoon Jung +3
In this paper, we first present the character texture generation system \textit{Minecraft-ify}, specified to Minecraft video game toward in-game application. Ours can generate face…
Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information
Bumsoo Kim, Wonseop Shin, Kyuchul Lee +2
Leveraging large-scale Text-to-Image (TTI) models have become a common technique for generating exemplar or training dataset in the fields of image synthesis, video editing, 3D rec…
ToonAging: Face Re-Aging upon Artistic Portrait Style Transfer
Bumsoo Kim, Abdul Muqeet, Kyuchul Lee +1
Face re-aging is a prominent field in computer vision and graphics, with significant applications in photorealistic domains such as movies, advertising, and live streaming. Recentl…
Video Face Re-Aging: Toward Temporally Consistent Face Re-Aging
Abdul Muqeet, Kyuchul Lee, Bumsoo Kim +4
Video face re-aging deals with altering the apparent age of a person to the target age in videos. This problem is challenging due to the lack of paired video datasets maintaining t…