7 citations · 10 across the 5 of their papers we have counts for
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cs.CV2025
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance
Wooseok Song, Seunggyu Chang, Jaejun Yoo
While single-concept customization has been studied in 3D, multi-concept customization remains largely unexplored. To address this, we propose MultiDreamer3D that can generate cohe…
cs.CV2024
One-Shot Structure-Aware Stylized Image Synthesis
Hansam Cho, Jonghyun Lee, Seunggyu Chang +1
While GAN-based models have been successful in image stylization tasks, they often struggle with structure preservation while stylizing a wide range of input images. Recently, diff…
cs.CV2024★ 1 cited
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization
Jisu Nam, Heesu Kim, DongJae Lee +3
The objective of text-to-image (T2I) personalization is to customize a diffusion model to a user-provided reference concept, generating diverse images of the concept aligned with t…