PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Official implementation for Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation (CVPR'22 Best Paper Finalist 🎉) If you ❤️ or simply use this project, don't forget to give the repository a ⭐, it means a lot to us !
The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. It covers over 6,000 m2 collected in 6 large-scale indoor areas that originate from 3 different buildings. It contains over 70,000 RGB…
PyTorch implementation of our CVPR 2019 paper:
Las características principales de svip-lab/planarreconstruction son: Plane Reconstruction, Scene Understanding.
Las alternativas de código abierto para svip-lab/planarreconstruction incluyen: art-programmer/planenet — PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image. cyang0515/noncuboidroom — Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. drprojects/deepviewagg — Official implementation for Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation… eryixie/planerecnet — This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance… facebookresearch/habitat-api — Habitat-Lab. alexsax/2d-3d-semantics — The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with…