Papers with Code 아카이브

Reconstruction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

4

평가표

5

보존된 평가 기록

5

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xiuyu0000/new_papers_codes/tree/main/DecoMR

3D Human Mesh Regression with Dense Correspondence

https://github.com/xr-lee/neural-symbolic

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

https://github.com/xxlong0/wonder3d

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

https://github.com/xypu98/two-stage-HDR-video

A Two-stage Deep Network for High Dynamic Range Image Reconstruction

https://github.com/yikaiw/vidu4d

Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels

https://github.com/zhenngbolun/Learnbale_Bandpass_Filter

Image Demoireing with Learnable Bandpass Filters

https://github.com/zhou13/nerd

Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.