Sooyeon Go — accepted AI-conference papers

2026

MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion

Minjung Shin, Hyunin Cho, Sooyeon Go, Jin-Hwa Kim, Youngjung Uh

ICLR 2026poster

Multi-view generation with camera pose control and prompt-based customization are both essential elements for achieving controllable generative models. However, existing multi-view generation models do not support customization with geometric consistency, whereas customization models lack explicit…

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2023

Semantic Image Synthesis with Unconditional Generator

JungWoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh

NeurIPS 2023poster

Semantic image synthesis (SIS) aims to generate realistic images according to semantic masks given by a user. Although recent methods produce high quality results with fine spatial control, SIS requires expensive pixel-level annotation of the training images. On the other hand, manipulating intermed…

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