2 papers
cs.CV2026
Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text
Jaeyeong Kim, Ines Kim, Jahyeok Koo +1
We introduce T2Mo, a feed-forward framework for controllable dynamic 3D shape generation conditioned on 3D trajectories and text. Due to the inherent ambiguity of language, generat…
cs.CV2026
Pose-dIVE: Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification
Inès Hyeonsu Kim, Woojeong Jin, Soowon Son +6
Person re-identification (Re-ID) often faces challenges due to variations in human poses and camera viewpoints, which significantly affect the appearance of individuals across imag…