https://github.com/chenhsuanlin/signed-distance-SRN
공식 코드SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Papers with Code 아카이브
3D Object Reconstruction From A Single Image
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image: Fan et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/facebookresearch/pifuhd
공식 코드PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/fanhqme/PointSetGeneration
공식 코드A Point Set Generation Network for 3D Object Reconstruction from a Single Image
https://github.com/monniert/unicorn
공식 코드Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
https://github.com/val-iisc/ssl_3d_recon
공식 코드From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
https://github.com/vast-ai-research/triposr
공식 코드https://github.com/Gitikameher/A-Point-Set-Generation-Network-for-3D-Object-Reconstruction-from-a-Single-Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
https://github.com/agnJason/RGB-D-PIFuHD
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/cardboard-q/pifuhd_demo_model_test
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/charlesq34/pointnet-autoencoder
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
https://github.com/justanhduc/graphx-conv
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
https://github.com/kuangzijian/drifu-for-animals
https://github.com/mees/self-supervised-3D
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
https://github.com/shunsukesaito/PIFu
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
https://github.com/xiaoqianruan1/partonomic_reconstruction
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.