https://github.com/QUVA-Lab/Spherical_Regression
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Surface normal estimation deals with the task of predicting the surface orientation of the objects present inside a scene. Refer to Designing Deep Networks for Surface Normal Estimation (Wang et al.) to get a good overview of several design choices that led to the development of a CNN-based surface normal estimator.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
iDisc: Internal Discretization for Monocular Depth Estimation
Extracting Triangular 3D Models, Materials, and Lighting From Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.