AI Video Production: Precise Camera Control Is the Key
07.10.2026
AI Superevent 2026
Vienna. (25.-27.09.2026)
Creating images and video with generative AI opens up huge potential for creatives and studios – but it also brings a new set of commercial headaches. At the AI Superevent 2026 in Vienna (25–27 September), Prof. Thomas Gronert showed how teams can keep creative vision and budget in balance. His talk focused on advanced ways to direct the camera in AI-generated footage, and what that means for production costs.
Directing the Camera Through References
This is exactly where modern workflows step in: the missing piece has always been control. Prof Herr Thomas Gronert walked through approaches that hand creatives back the director's chair over shot framing and camera moves. By feeding in reference images and reference videos, advanced AI video generators (such as Seedance 2.5) can reproduce specific camera movements on demand.
That lets production and agency teams lock in the visual language of a campaign or film early, right in pre-production. Instead of rolling the dice on each generation, the work becomes something you can actually plan and direct.
More Efficiency, Fewer Iterations
The business case speaks for itself. Better control means far fewer throwaway generations along the way. By pushing that control as far as it will go, teams can cut down the rounds of corrections – even against tight briefs – and budget a production with real confidence. Sharper steering tools like these are a genuine turning point for using generative video AI profitably in professional workflows.
Über den Referenten
Prof. Thomas Gronert teaches Digital Film Design at mdh and has spent more than 25 years advising studios and marketing teams on animation, VFX and the practical side of generative AI. He also passes on that hands-on know-how in mdh's free workshops on AI image generation, and shares regular insights into his work on LinkedIn.
Know more about his AI image generation Workshops here
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