https://github.com/Davidyao99/uni4d
공식 코드Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
Papers with Code 아카이브
Dynamic Reconstruction
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JonathonLuiten/Dynamic3DGaussians
공식 코드Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
https://github.com/MIVRC/MDCN-PyTorch
공식 코드MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
https://github.com/NVlabs/GaussianSTORM
공식 코드STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
https://github.com/RuijieZhu94/MotionGS
공식 코드MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
https://github.com/USTC3DV/NDR-code
공식 코드Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
https://github.com/ajinkyakadu/DynamicXRayCT
공식 코드https://github.com/berkiskender/RED-PSM
공식 코드RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
https://github.com/dsaurus/tensor4d
공식 코드Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering
https://github.com/facebookresearch/banmo
공식 코드BANMo: Building Animatable 3D Neural Models from Many Casual Videos
https://github.com/gengshan-y/rac
공식 코드https://github.com/google/dynibar
공식 코드https://github.com/hannahhaensen/dynamon
공식 코드DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
https://github.com/hustvl/4DGaussians
공식 코드https://github.com/ingra14m/deformable-3d-gaussians
공식 코드Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
https://github.com/ispc-lab/lidar4d
공식 코드LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
https://github.com/jasongzy/eg4d
공식 코드EG4D: Explicit Generation of 4D Object without Score Distillation
https://github.com/kair-bair/dycheck
공식 코드https://github.com/kirstenmaas/nerf-ca
공식 코드NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
https://github.com/lab4d-org/lab4d
공식 코드https://github.com/lastbasket/endo-4dgs
공식 코드Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
https://github.com/mlzxy/motion-blender-gs
공식 코드Motion Blender Gaussian Splatting for Dynamic Scene Reconstruction
https://github.com/weigao95/surfelwarp
공식 코드SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
https://github.com/xwx0924/SurgicalGaussian
공식 코드SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction
https://github.com/google/hypernerf
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
https://github.com/ingra14m/Lightweight-Deformable-GS
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
https://github.com/loping151/forplane
https://github.com/loping151/lerplane
https://github.com/songrise/HyperNeRF-torch
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.