Explore human-AI interaction for computer vision in this 52-minute CVPR22 tutorial. Delve into real-world AI applications, examining the evolving relationship between AI and humans. Investigate the balance between human control and AI autonomy, learning techniques to ensure human oversight while increasing automation. Discover AI-assisted content editing, text-guided image generation, and spatial control in image creation. Examine playable environments on NeRFs, visuomotor driving policies, and human-in-the-loop learning with safety considerations. Gain insights into the future of human-AI collaboration in computer vision applications.
Overview
Syllabus
Intro
Many real-world Applications of Al and Compute
Al is achieving human-level and superhuman perfor
Reframing the relation between Al and hu
Human control versus Al autonomy Is it binary?
Ensuring human control while increasing au
Human-Al Interaction in Image Classific
How humans use generative Al to edit and CE
Al-assisted content editing
OpenAI DALLE 2: Text2mg
Text-guided Image Generation
Limited Human Controllability for Diffusion M
Other ways to convey human intent to generative
Spatial Control of Image Generatio
Playable Environment on NeRFs
Learning a visuomotor driving policy
Human-in-the-loop learning with safety
Human-AI Interaction in Computer Vision
Taught by
Bolei Zhou
