At the Forefront of Nigeria’s AI Revolution: Reimagining Cinematic Study through Digital Tools
- Oluseyi Ekanem
- Jun 15
- 3 min read

At Paitan Media, we’re not just experimenting with tools — we’re shaping the future of creative technology in Africa.
This past weekend, I took on a personal challenge that became a powerful reminder of why Paitan exists. I set out to recreate a shot by one of my favorite cinematographers, Andbery, originally captured using a Blackmagic Pocket Cinema Camera — a micro four-thirds device known for its cinematic compression and rich visual storytelling.
Rebuilding the Shot in 3D
To understand the framing and visual balance of the scene, I turned to Houdini Solaris. I used Character Creator to pose digital doubles and exported them as FBX files, then staged the scene entirely in Solaris, carefully aligning focal length, camera-to-subject distance, and sensor size to match the original setup.
Unfortunately, I couldn’t share Andbery’s actual image due to copyright restrictions. So instead, I used the rendered scene from Solaris and turned to ChatGPT’s image generation tools to push the concept further. I prompted it for a variety of stylistic interpretations — from painterly realism to cinematic photography — and asked it to introduce production design elements that reflected a Victorian mood: vases with flowers, wall paintings, candles, books, and a royal chamber backdrop.
This wasn’t just about visual aesthetics — it was about learning why the shot worked: how lens choice affects spatial perception, how lighting creates emotional tone, and how digital tools can replicate (and reimagine) real-world cinematic grammar.
From Cinematic Replication to AI Insight
While deep in this process, I was reminded of several NVIDIA Omniverse demos showcasing how virtual 3D scenes can be used to generate synthetic data for training AI models. These simulations teach machines to understand space, lighting, and object relationships.
I also recalled a video where an AI model was trained to predict lighting setups and parameters just from a single still image. The fusion of cinematography, CG environments, and AI isn’t just fascinating — it’s transformative. It made me realize that this weekend project wasn’t just an homage to a shot — it was a pipeline prototype for the future.
Why It Matters for Nigeria
This wasn’t just a study in shot composition. It was a reminder that Africa doesn’t have to wait to participate in the next creative revolution. We can lead.
We’re in a moment where AI needs context-rich data — and virtual production, powered by tools like Houdini, Unreal Engine, and AI models, can generate that data in ways that are both scalable and meaningful. And with African stories at the heart of the design, the cultural value multiplies.
We’re building tools. We’re building stories. And we’re building Nigeria’s creative-tech future.
What’s Next
At Paitan Media, our mission is to fuse storytelling and technology to craft a distinctly African voice — globally relevant, culturally authentic, and technologically fluent. From real-time rendering to AI-generated datasets, from animation pipelines to youth training initiatives, we’re building the creative infrastructure Africa needs.
Let’s Collaborate
Are you working at the intersection of 3D, film, and AI? Are you exploring synthetic media, digital doubles, or storytelling tools that push creative boundaries?
We’d love to hear from you.
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