Historical Film Face Restoration via AI

Project Title: AI Video Editor Needed for 2D Face Restoration of Historical Family Film Project Overview: Looking for a technical video editor/computer vision freelancer to restore degraded, blurry faces in a short family film clip. The goal is identity preservation, not a fictional face swap. There are clear photographs of the subjects in the clip taken on the same day, so they can be used as a reference. Key Technical Requirements: - Experience with AI face restoration models like GFPGAN, CodeFormer, or DeepFaceLab / FaceFusion pipelines. - Ability to maintain temporal consistency (no warping or blinking artifacts between video frames). - Proficiency in traditional video editing suites (DaVinci Resolve or After Effects) for color matching, grain management, and deflickering. - Must be able to provide a 3-to-5 second "proof of concept" sample frame before completing the full video.

Additional Information

- Total clip length is 45 seconds. - Preferred output resolution matches the original but can be reduced if necessary. - Deliverable format: MP4 preferred (other formats acceptable).