Rachel Braun Scherl

RB Scherl specializes in synthetic media production using generative AI technologies, with a focus on Luma AI implementations for photorealistic video generation. Their technical portfolio demonstrates volumetric capture workflows through NeRF-based 3D reconstruction of physical environments and motion-enabled digital assets. The work spans architectural visualization, visual effects, and spatial computing applications that leverage neural rendering techniques. Based in the synthetic media technology sector, Scherl produces technical demonstrations and workflow examples for professional VFX artists, game developers, and digital content creators. Their project documentation covers implementation methods for neural rendering, environmental capture protocols, and practical applications of emerging AI visualization tools. Content distribution occurs primarily through the X platform, where Scherl maintains regular technical discourse with industry practitioners. Scherl's published work explores the convergence of AI-driven content creation and traditional visual media production pipelines. Their technical focus areas include photogrammetry-based 3D reconstruction, real-time rendering of AI-generated environments, and neural network approaches to motion synthesis. The portfolio emphasizes practical applications of generative technologies within established creative workflows.