https://github.com/zhongshsh/4d-animal
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.
Image: Gwak et al
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.