A Scalable UE5 & AI Mocap Pipeline for Animation, Previs & CGI

SEP 30 | AI GardenA Scalable UE5 & AI Mocap Pipeline for Animation, Previs & CGI16:30 - 17:00 Conference CenterA 105-minute animated feature, shot, built and rough-cut solo in Unreal Engine 5 at home. Performance capture with pose-estimation AI in a boardroom or a living room, 199 scenes in a single timeline, and a pipeline built to make CG-heavy films possible on European budgets.

Session Details

Can a Hollywood-grade pipeline run on indie hardware? Over the past few years Alican Eren Kuzu set out to replicate sophisticated studio workflows with low-cost equipment and software, with the aim of making high-end animation and CG-heavy films possible on European budgets or less.

The session covers the setup he used to shoot, build and rough-cut a 105-minute animated feature solo in Unreal Engine 5, at home and in his free time: performance capture with pose-estimation AI in low-cost spaces such as an office boardroom, a sports hall or a living room; fully AI-generated animation edited to fit; and sets, assets and cameras linked to master structures, so a single change propagates across hundreds of scenes without manual rework. The entire film lives in one timeline of 199 scenes, editable on the fly.

The resulting previs carries camera, depth and other passes and can feed video-to-video models, and the setup scales from a solo artist to a full crew, serving as a foundation for feature previs, LED volume prep or full CG animation.

Speaker

S26: AI Garden 6

Alican Eren Kuzu

Candy Valley Network/Game/Animation Cinematic Director