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OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
Junyeong Ahn, Geonwoo Kim, Kinam Kim +4
Generating videos of a specific subject from a few reference images remains challenging when the camera reveals surfaces that are not visible in the input. Early subject-to-video (…
AHS: Adaptive Head Synthesis via Synthetic Data Augmentations
Taewoong Kang, Hyojin Jang, Sohyun Jeong +4
Recent digital media advancements have created increasing demands for sophisticated portrait manipulation techniques, particularly head swapping, where one's head is seamlessly int…
InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion
Hoiyeong Jin, Hyojin Jang, Junha Hyung +6
Recent advances in diffusion models have enabled impressive video editing capabilities, yet production-grade Video Object Insertion (VOI) remains challenging due to inadequate 4D s…
Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models
Sungwon Hwang, Hyojin Jang, Kinam Kim +2
Fine-tuning Video Diffusion Models (VDMs) at the user level to generate videos that reflect specific attributes of training data presents notable challenges, yet remains underexplo…
Zero-Shot Head Swapping in Real-World Scenarios
Taewoong Kang, Sohyun Jeong, Hyojin Jang +1
With growing demand in media and social networks for personalized images, the need for advanced head-swapping techniques, integrating an entire head from the head image with the bo…