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AI Video Generation | 09.2026 | Weavy
📚 Overview
This project proved that generative AI can be integrated directly into a 3D pipeline - using Cinema 4D playblasts to successfully drive AI texturing and lighting.
By feeding grayscale 3D playblasts from Cinema 4D into Seedance (via Weavy), the team generated fully textured and lit video renders from simple geometric block-outs. Stepping in during the final phase, my role was to troubleshoot late-stage artifacts, refine integration, and push the shots across the finish line. While hybrid workflows like this are still evolving, this project served as a powerful proof of concept for bridging traditional 3D animation with generative AI.
💡Technical Challenges & What I'd do differently
Matching real-world studio lighting in AI renders remains a major hurdle—requiring traditional compositing to shape light and proving that AI execution relies heavily on human artistic direction.
Real life reference
When driving AI with 3D playblasts, over-specifying proxy geometry can lock in rigid shapes, teaching me to feed major volumes while letting AI generate fine particle detail.
Fine-tuning particle geometry presented another hurdle. Because the AI model locked strictly onto the playblast geometry, it resisted softening the sharp, angled proxy shapes into organic Cheeto textures. Moving forward, the key pipeline insight is to supply 3D playblasts containing only primary masses and major motion paths, leaving fine particle dynamics and micro-surface details to the AI’s generative pass.
Original
New test (still)
Flat, unconvincing lighting, loss of details
Although playblast to seedance is an amazing workflow, in this particular shot, this is how I would approach it if I were to do it all over again: Instead of driving the render with a grayscale playblast over green screen (which introduced color spill, loss of detail, and flat lighting), I would establish first- and last-frame keyframes directly over the live-action plate. This gave the AI a clear motion target while eliminating keying artifacts. Additionally, rather than relying solely on a reference image, explicitly describing environmental lighting in the prompt—specifying top light, soft screen-right fill, and contact shadows cast by the actor on screen-left—dramatically improved ambient integration and produced a much better raw render that required minimal compositing fixes (left photo).
📍Final Thoughts
Testing Cinema 4D playblasts inside Seedance demonstrated how rapidly generative tools are closing the gap between concept and final render. Finalizing these shots proved that critical creative decisions and hands-on compositing are still what bring a project across the finish line. I’m eager to build out more advanced use cases for these tools on future projects, and I'm excited to see how fellow artists leverage this fast-developing tech to elevate visual storytelling.