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20202025
most citedStyleUV: Diverse and High-fidelity UV Map Generative Model

5 citations · 13 across the 13 of their papers we have counts for

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cs.CV2025

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention

Wonwoong Cho, Yanxia Zhang, Yan-Ying Chen +1

Blending visual and textual concepts into a new visual concept is a unique and powerful trait of human beings that can fuel creativity. However, in practice, cross-modal conceptual…

cs.CV2025

Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

Wonwoong Cho, Yan-Ying Chen, Matthew Klenk +2

Text-to-Image (T2I) Diffusion Models have achieved remarkable performance in generating high quality images. However, enabling precise control of continuous attributes, especially…

cs.CV2024

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

Sean Kulinski, Nicholas R. Waytowich, James Z. Hare +1

Spatial reasoning tasks in multi-agent environments such as event prediction, agent type identification, or missing data imputation are important for multiple applications (e.g., a…

cs.CV2023★ 3 cited

Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods

Wonwoong Cho, Hareesh Ravi, Midhun Harikumar +5

As Diffusion Models have shown promising performance, a lot of efforts have been made to improve the controllability of Diffusion Models. However, how to train Diffusion Models to…

cs.CV2020

Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline

Wonwoong Cho, Inyeop Lee, David Inouye

While facial attribute manipulation of 2D images via Generative Adversarial Networks (GANs) has become common in computer vision and graphics due to its many practical uses, resear…