3 papers
cs.CV2026
MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer
Dongkyung Kang, Jaeyeon Hwang, Junseo Park +6
Style transfer aims to render a content image with the visual characteristics of a reference style while preserving its underlying semantic layout and structural geometry. While re…
cs.CV2025
ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On
Junseo Park, Hyeryung Jang
Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions and faithful preservation of id…
cs.CV2025
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
Junseo Park, Hyeryung Jang
Large-scale diffusion models have made significant advances in image generation, particularly through cross-attention mechanisms. While cross-attention has been well-studied in tex…