Student Researcher (Seed Vision – Long-Range Video Generation) – 2026 Start (PhD)

About the team<br/>The Seed Vision Team focuses on foundational models for visual generation, developing multimodal generative models, and carrying out leading research and application development to solve fundamental computer vision challenges in GenAI. Researching and developing foundational models for visual generation (images and videos), ensuring high interactivity and controllability in visual generation, understanding patterns in videos, and exploring various visual-oriented tasks based on generative foundational models.<br/><br/>Responsibilities<br/>- Develop scalable architectures for long-range video generation with consistent motion, identity, and layout.<br/>- Explore hierarchical or recurrent latent structures to support generation across long temporal spans.<br/>- Address challenges in temporal drift, motion collapse, and high-frequency detail retention.<br/>- Investigate autoregressive or chunked generation strategies that balance quality and memory.<br/>- Design evaluation protocols for long video quality (e.g., realism, consistency, semantic continuity).<br/><br/> annually.<br/>