Had a great experience presenting our work on 3D scene reconstruction from a single image with @visionbernie.bsky.social at #3DV2025 🇸🇬

andreeadogaru.github.io/Gen3DSR

Reach out if you're interested in discussing our research or exploring international postdoc opportunities @fau.de

We handle occlusions by employing amodal completion for each instance. The completed instance is then reconstructed using existing models that perform well for single objects. However, we first address the object crop domain shift (e.g., focal length) through reprojection. (4/5)

First, we parse the image of the scene by identifying the composing entities and estimating the depth and camera parameters. Each instance is then processed individually. The unprojected depth serves as a layout reference for composing the scene in 3D space. (3/5)

Excited to share our paper which will be presented at #3DV2025

✨ Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View ✨
🌐 Project page: andreeadogaru.github.io/Gen3DSR
📄 Paper: arxiv.org/abs/2404.03421
👩‍💻 Code: github.com/AndreeaDogar...
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