Hanyu Chen

[7/7] For more interactive visualizations, check out our project page: hanyuc.com/archsym Huge thanks to the team! Ruojin Cai (@ruojin8), Steve Marschner, and Noah Snavely (@Jimantha). Come by our poster on Sunday, Poster Session 6, if you’re interested!

[6/7] On held-out landmark scenes, our method improves over both Reflect3D (finetuned on our dataset), and a simple baseline that directly regresses plane parameters from the same VGGT features. See our paper for full quantitative results and evaluation details.

Excited to share ArchSym at #CVPR2026! 🏛️ Existing 3D symmetry detectors work well on clean, object-centric data. But what about in the wild? In our work, we tackle 3D-grounded reflectional symmetry detection specifically for real-world architectural landmarks. 🧵[1/7]

Honey, I Shrunk the Arc de Triomphe! 😱 Ever notice how SOTA depth models suffer from "scale-collapse"—metrically shrinking distant landmarks like they're toys? We introduce MetricScenes: a new in-the-wild metric dataset that fixes this!

Introducing Doppelgangers++! 🚀 An enhanced pairwise image classifier that tackles visual aliasing (doppelgangers) to improve 3D reconstruction accuracy across diverse, real-world scenes. 🌍✨ 🔗Project page: bit.ly/3VAPMJc. Code is also available.