https://github.com/CYang0515/NonCuboidRoom
공식 코드Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Holistic 3D Scene Understanding from a Single Image with Implicit Representation
Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.