Papers with Code 아카이브
3D Shape Reconstruction From A Single 2D Image
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 2
Image: Liao et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cangumeli/ROCA
공식 코드ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
https://github.com/facebookresearch/phosa
공식 코드Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
https://github.com/lkeab/gsnet
공식 코드GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
https://github.com/marcopesavento/Super-resolution-3D-Human-Shape-from-a-Single-Low-Resolution-Image
공식 코드Super-resolution 3D Human Shape from a Single Low-Resolution Image
https://github.com/zubair-irshad/shapo
공식 코드ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
https://github.com/bharat-b7/MultiGarmentNetwork
https://github.com/dizhongzhu/Humanbody_Literatures
https://github.com/huochf/StackFLOW
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
https://github.com/khushgrover/smart-match
https://github.com/minar09/MGN
https://github.com/minar09/MGN-Py3
https://github.com/minar09/MultiGarmentNetworkPython3
https://github.com/shunsukesaito/PIFu
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
https://github.com/zubair-irshad/CenterSnap
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.