https://github.com/BoyanJIANG/LoRD
공식 코드LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
Papers with Code 아카이브
4D reconstruction
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/barrybarry-smith/driv3r
공식 코드Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving
https://github.com/continental/seed4d
공식 코드SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark
https://github.com/envision-research/driverecon
공식 코드DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
https://github.com/fudan-zvg/diffusion-square
공식 코드https://github.com/gen-verse/widerange4d
공식 코드WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes
https://github.com/hebing-sjtu/S4D
공식 코드S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points
https://github.com/inception3d/easi3r
공식 코드Easi3R: Estimating Disentangled Motion from DUSt3R Without Training
https://github.com/ispc-lab/lidar4d
공식 코드LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
https://github.com/jiahuilei/mosca
공식 코드MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds
https://github.com/jzr99/Geo4D
공식 코드Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
https://github.com/kerrj/rsrd
공식 코드Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction
https://github.com/kirstenmaas/nerf-ca
공식 코드NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
https://github.com/kwaivgi/syncammaster
공식 코드SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
https://github.com/loping151/lerplane
공식 코드Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
https://github.com/markomih/ResFields
공식 코드ResFields: Residual Neural Fields for Spatiotemporal Signals
https://github.com/smontode24/4dpv
공식 코드4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields
https://github.com/tangjiapeng/LPDC-Net
공식 코드https://github.com/wzzheng/streamvggt
공식 코드https://github.com/yuan-xiaohan/4d-myocardium-reconstruction-with-decoupled-motion-and-shape-model
공식 코드4D Myocardium Reconstruction with Decoupled Motion and Shape Model
https://github.com/zcsrenlongz/deblur4dgs
공식 코드Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
https://github.com/Jianghanxiao/PhysTwin
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
https://github.com/Junyi42/monst3r
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
https://github.com/Linyou/D3DGS
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/NJU-3DV/Gaussian-Flow
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/ailiop/idvf
Iterative Inversion of Deformation Vector Fields with Feedback Control
https://github.com/linz94/mfin-cycle
https://github.com/loping151/forplane
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
https://github.com/markomih/splatfields
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
https://github.com/xr-lee/neural-symbolic
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
https://github.com/yikaiw/vidu4d
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.