Papers with Code 아카이브
4D reconstruction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
SAM4D: Segment Anything in Camera and LiDAR Streams
BulletGen: Improving 4D Reconstruction with Bullet-Time Generation
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
4Real-Video-V2: Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation
FaceCraft4D: Animated 3D Facial Avatar Generation from a Single Image
St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World
Vivid4D: Improving 4D Reconstruction from Monocular Video by Video Inpainting
Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
Physics-informed 4D X-ray image reconstruction from ultra-sparse spatiotemporal data
GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training
LIM: Large Interpolator Model for Dynamic Reconstruction
Can Video Diffusion Model Reconstruct 4D Geometry?
ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models
PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction Model
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes
SDD-4DGS: Static-Dynamic Aware Decoupling in Gaussian Splatting for 4D Scene Reconstruction
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving
SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly 4D Reconstruction
4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields
Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos
Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos
DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.