AI-Assisted Post-Production: Enhancing Workflows with AI Interpolation and Object Detection

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Publisher: SMPTE — Pasadena, CA
Doc Type: Conference Paper
Content Type: Original Research
Volume: 00, pp. 2–11
Abstract: AI-assisted methods are redefining workflows in post-production, enabling faster turnaround and more precise automation without sacrificing creative control. Recent advances in deep learning have produced practical solutions for long-standing technical challenges such as frame rate conversion, slate detection for dailies, and restoration of missing or damaged frames. This paper presents technical details of three such applications: (1) the use of RIFE interpolation augmented by NVIDIA TensorRT for accurate AI-based frame rate conversion, (2) object detection using Ultralytics YOLOv11 for slate identification in dailies workflows, and (3) generative AI-based frame inference for restoration of archival film. Case studies-including the recent 4K restoration of Sunset Boulevard at USC-illustrate how targeted models trained on relevant datasets can accelerate creative processes in production and restoration while keeping human operators firmly in control.
Publication Date: 2025-10-13
ISBN: [object Object]
Author(s): Brian Gaffney
Copyright: © 2025 SMPTE

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<span class="citation">Brian Gaffney; <cite>AI-Assisted Post-Production: Enhancing Workflows with AI Interpolation and Object Detection</cite>, MTS 2025, Article 26 (pp. 2 to 11); SMPTE, 2025, ISBN: [object Object]</span>

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Brian Gaffney; <cite id="bib-978-1-61482-966-9-26">AI-Assisted Post-Production: Enhancing Workflows with AI Interpolation and Object Detection</cite>, MTS 2025, Article 26 (pp. 2 to 11); SMPTE, 2025, ISBN: [object Object]
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