AI Trends 2024: Computer Vision with Naila Murray
Analysis
This article from Practical AI provides a concise overview of current trends in computer vision, focusing on a conversation with Naila Murray, Director of AI research at Meta. The discussion highlights key advancements including controllable generation, visual programming, 3D Gaussian splatting, and multimodal models integrating vision and LLMs. The article also mentions specific tools and open-source projects like Segment Anything, ControlNet, and DINOv2, emphasizing their capabilities in image segmentation, conditional control, and visual encoding. The focus is on practical applications and future opportunities within the field.
Key Takeaways
- •The article discusses advancements in controllable generation, visual programming, 3D Gaussian splatting, and multimodal models (vision + LLMs).
- •It highlights the use of tools like Segment Anything, ControlNet, and DINOv2 for image segmentation, conditional control, and visual encoding.
- •The conversation with Naila Murray provides insights into future opportunities and predictions within the computer vision field.
“Naila shares her view on the most exciting opportunities in the field, as well as her predictions for upcoming years.”