2 DAILY CVPR Friday [2A-1] FoundationStereo: Zero-Shot Stereo Matching [2A-4] MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds [1-52] DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering [1-240] One Diffusion to Generate Them All [1-437] PIAD: Pose and Illumination agnostic Anomaly Detection [2-208] Reversing Flow for Image Restoration Mathis’ picks of the day: Leveraging multi-view and 3D information can greatly enhance tasks typically performed using regular 2D images. Moreover, many of these ideas can be applied to exciting domains such as X-Ray imaging and scene understanding. Orals For today, Friday 13 Mathis’ Picks Posters Mathis Kruse is a PhD student at Leibniz University Hannover, supervised by Bodo Rosenhahn. Currently, he is working on Anomaly Detection, with a special focus on multi-view scenarios. I recently presented my paper, "Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection" at the VAND 3.0 workshop on Thursday. Feel free to chat with me about all things anomaly detection, flows, and multi-view…
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