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Introducing FLARE #CVPR2026 2025 FLARE is a feed-forward model that simultaneously estimates high-quality camera poses, 3D geometry, and appearance from sparse uncalibrated images. 1/4
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Our cascaded learning framework comprises three core components: 1. Camera pose estimation without bundle adjustment 2. Geometry reconstruction 3. Appearance modeling using 3D Gaussians 2/4

Transform your room into a 3D model with just a few photos! 📸✨Try it out and see your space come to life! GitHub: 3/4

FLARE can also perform photorealistic novel-view synthesis. Lots of results on the project site: 4/4

with Shangzhan Zhang, Jianyuan Wang, @YinghaoXu1, @NanXue7, Christian Rupprecht, @XiaoweiZhou5, Yujun Shen

@CVPR No bundle adjustment ?! Nice nice

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