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.

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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
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Multi-Modal Generative AI with Foundation Models

Ziwei Liu
1 citations
AI-based Problem Solving and Planning
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Multi-Modal Generative AI with Foundation Models

Ziwei Liu
article en
1 citations

Abstract

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.

Nanyang Technological University (SG)
Openalex Percentile: Top 83%
AI-based Problem Solving and Planning
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Multi-Modal Generative AI with Foundation Models — Ziwei Liu · (2024) | TGRS Research Map | TGRS