Papers Dynamic Reconstruction
“Dynamic Reconstruction” 태그가 달린 논문 102편 · 필터 해제
NemoSplat: Feed-Forward 4D Gaussian Splatting for Media-Aware Underwater Reconstruction
Reconstructing photorealistic scenes in unconstrained underwater environments remains challenging due to severe media-induced light scattering and unpredictable dynamic objects. Recent feed-forward visual foundation mode…
Dynamic ReconstructionNovel View SynthesisUSR-Drive: Unified Driving Scene Representation via Joint Denoising of 3D Gaussians and Boxes
Spatial representation learning for autonomous driving aims to map raw visual signals into structured 3D scene representations, where object-centric bounding boxes and rendering-oriented 3D primitives (\eg, 3D Gaussians)…
Representation LearningDynamic ReconstructionScene UnderstandingAutonomous DrivingDepth Anything V4: Dynamic 4D Scene Reconstruction via Riemannian Flow Matching on 4D Gaussian Splatting
We present Depth Anything V4 (DAV4), a framework for dynamic 4D scene reconstruction from monocular video. Our key contribution is the application of Riemannian Flow Matching (RFM) to 4D Gaussian Splatting parameters, de…
Dynamic ReconstructionAdaAnchor4D: Anchor-Conditioned Spatiotemporal Feature Aggregation for Monocular UAV 4D Reconstruction
Monocular UAV videos provide valuable observations for dynamic reconstruction of complex urban scenes. However, such scenes exhibit pronounced spatiotemporal heterogeneity: different regions follow distinct temporal acti…
Dynamic ReconstructionTemporally Aware Densification for Dynamic 3D Gaussian Splatting
Despite modeling temporal motion, dynamic 3D Gaussian Splatting (3DGS) methods still inherit a static densification strategy that is ill-suited for dynamic scenes. This neglect of temporal behavior leads to under-reconst…
Dynamic ReconstructionDSD-GS: Dynamic-Static Decomposition of Gaussian Splatting for Efficient and High-Fidelity Dynamic Scene Reconstruction
Dynamic scene reconstruction and novel view synthesis are fundamental to next-generation visual intelligence applications such as virtual reality, robotics, and digital twins. However, high-fidelity reconstruction of com…
Dynamic ReconstructionNovel View Synthesis4D-GSW: Kinematic-Aware Spatio-Temporal Consistent Watermarking for 4D Gaussian Splatting
While 4D Gaussian Splatting (4DGS) has revolutionized high-fidelity dynamic reconstruction, safeguarding the intellectual property of these assets remains an open challenge. Conventional steganographic techniques often n…
Dynamic ReconstructionLongDPM: Overlap-Aware 4D Reconstruction from Long Monocular Videos
Recovering a dynamic 3D scene from a long monocular video is crucial for dense geometry, camera motion, and temporal correspondence to remain consistent in a shared coordinate system. Existing methods face two key challe…
Dynamic ReconstructionCamera Pose EstimationFlow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM
Handling the dynamic environments is a significant research challenge in Visual Simultaneous Localization and Mapping (SLAM). Recent research combines 3D Gaussian Splatting (3DGS) with SLAM to achieve both robust camera …
Dynamic ReconstructionCamera Pose EstimationGeoRect4D: Geometry-Compatible Generative Rectification for Dynamic Sparse-View 3D Reconstruction
Reconstructing dynamic 3D scenes from sparse multi-view videos is highly ill-posed, often leading to geometric collapse, trajectory drift, and floating artifacts. Recent attempts introduce generative priors to hallucinat…
Dynamic Reconstruction3D ReconstructionFace Anything: 4D Face Reconstruction from Any Image Sequence
Accurate reconstruction and tracking of dynamic human faces from image sequences is challenging because non-rigid deformations, expression changes, and viewpoint variations occur simultaneously, creating significant ambi…
Dynamic ReconstructionDepth EstimationPoint TrackingDP-DeGauss: Dynamic Probabilistic Gaussian Decomposition for Egocentric 4D Scene Reconstruction
Egocentric video is crucial for next-generation 4D scene reconstruction, with applications in AR/VR and embodied AI. However, reconstructing dynamic first-person scenes is challenging due to complex ego-motion, occlusion…
Dynamic ReconstructionScene UnderstandingSpatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
Time-resolved volumetric MR imaging that reconstructs a 3D MRI within sub-seconds to resolve deformable motion is essential for motion-adaptive radiotherapy. Representing patient anatomy and associated motion fields as 3…
Dynamic ReconstructionMRI ReconstructionPanopticQuery: Unified Query-Time Reasoning for 4D Scenes
Understanding dynamic 4D environments through natural language queries requires not only accurate scene reconstruction but also robust semantic grounding across space, time, and viewpoints. While recent methods using neu…
Natural Language QueriesDynamic ReconstructionSparseCam4D: Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras
High-quality 4D reconstruction enables photorealistic and immersive rendering of the dynamic real world. However, unlike static scenes that can be fully captured with a single camera, high-quality dynamic scenes typicall…
Dynamic ReconstructionSLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes
We propose SLARM, a feed-forward model that unifies dynamic scene reconstruction, semantic understanding, and real-time streaming inference. SLARM captures complex, non-uniform motion through higher-order motion modeling…
Dynamic ReconstructionScene ParsingSpatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates
Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite significant progress in human body recovery, acc…
Dynamic ReconstructionGarment ReconstructionVirtual Try-onJoint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild
Despite progress, Vision-Language-Action models (VLAs) are limited by a scarcity of large-scale, diverse robot data. While human manipulation videos offer a rich alternative, existing methods are forced to choose between…
Dynamic ReconstructionRobot ManipulationTG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction
3D Gaussian Splatting (3DGS) has revolutionized 3D scene representation with superior efficiency and quality. While recent adaptations for computed tomography (CT) show promise, they struggle with severe artifacts under …
Dynamic ReconstructionWorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains
Dynamic reconstruction has achieved remarkable progress, but there remain challenges in monocular input for more practical applications. The prevailing works attempt to construct efficient motion representations, but lac…
Dynamic Reconstruction