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cs.CV2025
MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
Minjung Shin, Hyunin Cho, Sooyeon Go +2
Multi-view generation with camera pose control and prompt-based customization are both essential elements for achieving controllable generative models. However, existing multi-view…
cs.CV2024
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
Sooyeon Go, Kyungmook Choi, Minjung Shin +1
As pre-trained text-to-image diffusion models have become a useful tool for image synthesis, people want to specify the results in various ways. This paper tackles training-free ap…
cs.CV2024
Semantic Image Synthesis with Unconditional Generator
Jungwoo Chae, Hyunin Cho, Sooyeon Go +2
Semantic image synthesis (SIS) aims to generate realistic images that match given semantic masks. Despite recent advances allowing high-quality results and precise spatial control,…