We present an AV1-based Structure from Motion Pipeline repurposing AV1 bitstreams metadata to generate correspondences for 3D reconstruction. The process of creating 3D models from 2D images, known as Structure from Motion (SfM), traditionally relies on finding and matching distinctive features (keypoints) across multiple images. This feature extraction and matching process is computationally intensive, requiring significant processing power and time. We can actually bypass this expensive step using the powerful motion vectors of AV1 encoded videos. We present an analysis of the quality of motion vectors extracted from AV1 encoded video streams. We finally present our full AV1-based Structure from Motion pipeline, re-using motion vectors from AV1 bitstreams to generate correspondences for 3D reconstruction, yielding dense inter-frame matches at a near-zero additional cost. Our method reduces front-end time by a median of 42% and yields up to 8× more 3D points with a median reprojection error of 0.5 px making compressed-domain correspondences a practical route to faster SfM in resource-constrained or real-time settings. This talk was presented at Demuxed 2025 in London, a conference by and for engineers working in video. Every year we host a conference with lots of great new talks like this – learn more at https://demuxed.com