Reconstructing the Dynamic World: A Representation-Centric View of 4D Scene Reconstruction

arXiv:2609.39960 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-10-06

Code: https://github.com/facebookresearch/hyperreel

Terminology

• Gaussian Splatting — 46× in this paper · explained in 4 episodes
• Consistency — 25× in this paper · explained in 3 episodes
• 3D Gaussian Splatting — 21× in this paper · explained in 2 episodes
• Fidelity — 19× in this paper · explained in 2 episodes
• Temporal consistency — 14× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Optical Flow — 8× in this paper · explained in 2 episodes
• Regularization — 8× in this paper · explained in 3 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Generalization — 4× in this paper · explained in 13 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Embodied AI — 3× in this paper · explained in 2 episodes
• Multi-View Stereo — 3× in this paper
• Multimodal Dataset — 3× in this paper · explained in 2 episodes
• Quantization — 3× in this paper · explained in 12 episodes
• Transactions on Graphics — 3× in this paper
• World Model — 3× in this paper · explained in 7 episodes
• 3D Gaussian Splatting (3DGS) — 2× in this paper · explained in 4 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Chamfer Distance — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Digital Twin — 2× in this paper · explained in 4 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Forward modeling — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• IEEE International Conference on Robotics and Automation — 1× in this paper
• Intrinsic Dimension — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Simultaneous Localization and Mapping — 1× in this paper
• Winter Conference on Applications of Computer Vision — 1× in this paper
• alpha — 1× in this paper · explained in 1 episode

Sources

• Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey
• A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation
• NeAR: Coupled Neural Asset-Renderer Stack
• NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)
• A Survey on 3D Gaussian Splatting
• How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
• SfM-Net: Learning of Structure and Motion from Video
• HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
• 1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
• Dynamic Scene Reconstruction: Recent Advance in Real-time Rendering and Streaming
• Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field
• Neural Radiance Field in Autonomous Driving: A Survey
• Reconstructing 4D Spatial Intelligence: A Survey
• Advances in 4D Representation: Geometry, Motion, and Interaction
• Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
• Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
• EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
• SD-GS: Structured Deformable 3D Gaussians for Efficient Dynamic Scene Reconstruction
• DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation

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