AI RESEARCH
3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
arXiv CS.CV
•
ArXi:2603.18524v1 Announce Type: new Creating dynamic, view-consistent videos of customized subjects is highly sought after for a wide range of emerging applications, including immersive VR/AR, virtual production, and next-generation e-commerce. However, despite rapid progress in subject-driven video generation, existing methods predominantly treat subjects as 2D entities, focusing on transferring identity through single-view visual features or textual prompts.