naveen manwani (@NaveenManwani17)
2025-05-14 | ❤️ 79 | 🔁 13
🚨 CVPR 2025 Highlight Paper Alert 🚨
➡️Paper Title: Doppelgangers++: Improved Visual Disambiguation with Geometric 3D Features
🌟Few pointers from the paper
🎯Accurate 3D reconstruction is frequently hindered by visual aliasing, where visually similar but distinct surfaces (aka, doppelgangers), are incorrectly matched.
🎯These spurious matches distort the structure-from-motion (SfM) process, leading to misplaced model elements and reduced accuracy.
🎯Prior efforts addressed this with CNN classifiers trained on curated datasets, but these approaches struggle to generalize across diverse real-world scenes and can require extensive parameter tuning.
🎯In this work, authors of this paper presented Doppelgangers++, a method to enhance doppelganger detection and improve 3D reconstruction accuracy.
🎯Their contributions include a diversified training dataset that incorporates geo-tagged images from everyday scenes to expand robustness beyond landmark-based datasets.
🎯They further proposed a Transformer-based classifier that leverages 3D-aware features from the MASt3R model, achieving superior precision and recall across both in-domain and out-of-domain tests.
🎯Doppelgangers++ integrates seamlessly into standard SfM and MASt3R-SfM pipelines, offering efficiency and adaptability across varied scenes.
🎯To evaluate SfM accuracy, they introduced an automated, geotag-based method for validating reconstructed models, eliminating the need for manual inspection.
🎯Through extensive experiments, they demonstrated that Doppelgangers++ significantly enhances pairwise visual disambiguation and improves 3D reconstruction quality in complex and diverse scenarios.
🏢Organization: @Cornell , @visym
🧙Paper Authors: @ambie_kk , @ruojin8 , Hanyu Chen, Jeffrey Byrne, @Jimantha
📝 Read the Full Paper here: https://arxiv.org/abs/2412.05826
🗂️ Project Page: https://doppelgangers25.github.io/doppelgangers_plusplus/
🧑💻 Code: https://github.com/doppelgangers25/doppelgangers-plusplus
🎥 Be sure to watch the attached Demo Video - Sound on 🔊🔊
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🔗 원본 링크
- https://arxiv.org/abs/2412.05826
- https://doppelgangers25.github.io/doppelgangers_plusplus/
- https://github.com/doppelgangers25/doppelgangers-plusplus
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Tags
domain-vision-3d domain-ai-ml domain-dev-tools domain-visionos