Multi-Modal Generative AI with Foundation Models
Generating photorealistic and controllable visual contents has been a long-pursuing goal of artificial intelligence (AI), with extensive real-world applications. It is also at the core of embodied intelligence. In this talk, I will discuss our work in AI-driven visual context generation of humans, objects and scenes, with an emphasis on combining the power of neural rendering with large multimodal foundation models. Our generative AI framework has shown its effectiveness and generalizability on a wide range of tasks.
Authors
- Ziwei Liu (ORCID: https://orcid.org/0000-0002-4220-5958)
Institutions
- Nanyang Technological University (SG)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1145/3688866.3689384
- Citations
- 1
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 0.00