Immersive VFX Integration

Contribution

• Evaluated AI-generated assets across multiple model architectures, scoring for photorealism, lighting coherence, and material fidelity before handoff to VFX supervisors.
• Shaped prompt and reference workflows around super-resolution and outpainting, iterating on prompt structure to maintain period detail, costume texture, and scene continuity.
• Provided structured creative feedback on "performance gap" moments — articulating specific reasons outputs failed (e.g., temporal drift, expression inconsistency) rather than general observations.

Process

1. 01Started with narrative beats and target mood frames, establishing quality benchmarks for each scene family.
2. 02Ran comparative generation passes, diagnosing output failures and narrowing to production-safe visual directions.
3. 03Converted winning directions into clean delivery packages with structured annotation for VFX and comp handoff.