4D-GSW: Kinematic-Aware Spatio-Temporal Consistent Watermarking for 4D Gaussian Splatting
- URL: http://arxiv.org/abs/2605.22342v1
- Date: Thu, 21 May 2026 11:27:11 GMT
- Title: 4D-GSW: Kinematic-Aware Spatio-Temporal Consistent Watermarking for 4D Gaussian Splatting
- Abstract summary: We propose textbf4D-GSW, a kinematic-aware watermarking framework designed to embed robust copyright information.<n>Unlike prior 4D steganography that primarily focuses on opacity-guided invisibility, our approach explicitly addresses the physical coherence of perturbation motion trajectories.
- Score: 25.65814375691728
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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 neglect the underlying kinematic manifolds, triggering non-physical artifacts such as severe temporal flickering and "FVD collapse". To address this, we propose \textbf{4D-GSW}, a kinematic-aware watermarking framework designed to embed robust copyright information while preserving high spatio-temporal consistency. Unlike prior 4D steganography that primarily focuses on opacity-guided invisibility, our approach explicitly addresses the physical coherence of motion trajectories. We introduce a \textbf{Spatio-Temporal Curvature (STC)} metric to identify "Dynamic Instants," adaptively gating watermark gradient injection to shield critical motion manifolds from non-physical perturbations. To ensure global coherence across complex deformations, we formulate a joint \textbf{HMM-MRF energy minimization} model that synchronizes watermark phases within both temporal trajectories and spatial neighborhoods. Furthermore, an \textbf{anisotropic gradient routing} mechanism ensures that watermark embedding remains strictly decoupled from photometric reconstruction fidelity. Extensive experiments have demonstrated the superior performance of our method in robustly hiding watermarks while resisting various attacks and maintaining high rendering quality and spatiotemporal consistency.
Related papers
- ASTRA: Asynchronous Spatio-Temporal Reconstruction via Trajectory Alignment [86.35109211408489]
We propose ASTRA, a framework that introduces 2D motion trajectories as explicit, texture-agnostic supervision for asynchronous dynamic reconstruction.<n>ASTRA preserves high-frequency spatial details and sustains strong robustness even under severe asynchrony with up to 25-frame offsets, achieving approximately 1.4 dB PSNR improvement, reducing temporal-offset MAE by 54.0%, and nearly quadrupling the synchronization success rate.
arXiv Detail & Related papers (2026-08-03T10:06:45Z) - Ocean4D: Generative Underwater 4D Reconstruction via Medium-Aware Video Diffusion [53.39217286144327]
We propose a generative framework for underwater 4D reconstruction, named Ocean4D.<n>4D-GCC constructs 4D geometrically consistent conditioning with improved cross-frame coverage.<n>The Medium-Aware Block performs implicit medium-aware denoising in the latent diffusion process to stabilize underwater appearance.
arXiv Detail & Related papers (2026-06-22T13:10:26Z) - Multi4D: High-Fidelity Dynamic Gaussian Splatting via Multi-Level Competitive Allocation [11.135752651274663]
We introduce Multi4D, a framework for high-fidelity dynamic Gaussian splatting.<n>We distribute modeling capacity across three levels: static structure, persistent dynamic geometry, and transient appearance primitives.<n>This allocation preserves long-term motion consistency while capturing fine dynamic detail, achieving state-of-the-art rendering quality and real-time performance.
arXiv Detail & Related papers (2026-06-20T19:11:26Z) - Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis [63.07333625429548]
We present U4D, a new framework that explicitly leverages spatial uncertainty to guide LiDAR scene generation.<n>Experiments on nuScenes and Semantic KITTI demonstrate state-of-the-art scene fidelity, temporal consistency, and downstream performance.
arXiv Detail & Related papers (2026-06-01T17:24:14Z) - Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency [74.90075313101933]
This paper revisits the same optical-flow primitive through a more local supervision design.<n>We use adjacent-frame Eulerian motion fields to guide generation, where the motion signal always describes a short temporal hop.<n>To mitigate the drift artifacts common in adjacent frame generation, we introduce a Bidirectional Geometric Consistency mechanism.
arXiv Detail & Related papers (2026-05-07T13:53:31Z) - Director: Instance-aware Gaussian Splatting for Dynamic Scene Modeling and Understanding [40.60302826781783]
Volumetric seeks to model rendering scenes as temporally coherent 4D representations.<n>Director achieves temporally coherent 4D reconstructions while simultaneously enabling instance segmentation and open-vocabulary querying.
arXiv Detail & Related papers (2026-04-02T06:29:53Z) - RetimeGS: Continuous-Time Reconstruction of 4D Gaussian Splatting [9.254380348086135]
temporal retiming is crucial for applications such as slow-motion playback, temporal editing, and post-production.<n>Most existing 4D Gaussian Splatting (4DGS) methods overfit at discrete frame indices but struggle to represent continuous-time frames, leading to ghosting artifacts when interpolating between timestamps.<n>We propose RetimeGS, a simple yet effective 4DGS representation that explicitly defines the temporal behavior of the 3D Gaussian and achieves temporal aliasing.
arXiv Detail & Related papers (2026-03-14T06:26:27Z) - Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation [51.4527986348543]
We introduce Catalyst4D, a framework that transfers high-quality 3D edits to dynamic 4D Gaussian scenes.<n> AMG builds a set of structurally stable and spatially representative anchors from both original and edited Gaussians.<n>CUAR preserves temporal appearance consistency by estimating per-Gaussian color uncertainty.
arXiv Detail & Related papers (2026-03-13T08:10:27Z) - Uncertainty-Aware 4D Gaussian Splatting for Monocular Occluded Human Rendering [20.390068289144484]
We propose U-4DGS, a framework integrating a Probabilistic Deformation Network and a Double Rasterization pipeline.<n>This architecture renders pixel-aligned uncertainty maps that act as an adaptive modulator, automatically attenuating artifacts from unreliable observations.<n>Experiments on ZJU-MoCap and OcMotion demonstrate that U-4DGS achieves SOTA rendering fidelity and robustness.
arXiv Detail & Related papers (2026-02-06T03:14:37Z) - InpaintHuman: Reconstructing Occluded Humans with Multi-Scale UV Mapping and Identity-Preserving Diffusion Inpainting [64.42884719282323]
InpaintHuman is a novel method for generating high-fidelity, complete, and animatable avatars from occluded monocular videos.<n>Our approach employs direct pixel-level supervision to ensure identity fidelity.
arXiv Detail & Related papers (2026-01-05T13:26:02Z) - MoRel: Long-Range Flicker-Free 4D Motion Modeling via Anchor Relay-based Bidirectional Blending with Hierarchical Densification [10.799902862870288]
MoRel is a novel framework for temporally consistent and memory-efficient modeling of long-range dynamic scenes.<n>Our approach mitigates temporal discontinuities and flickering artifacts.<n>It achieves temporally coherent and flicker-free long-range 4D reconstruction while maintaining bounded memory usage.
arXiv Detail & Related papers (2025-12-10T02:49:09Z) - Endo-G$^{2}$T: Geometry-Guided & Temporally Aware Time-Embedded 4DGS For Endoscopic Scenes [3.1445273839174095]
Endo-G$2$T is a geometry-guided and temporally aware training scheme for time-embedded 4DGS.<n>It achieves state-of-the-art results among monocular reconstruction baselines in EndoNeRF and StereoMIS-P1 datasets.
arXiv Detail & Related papers (2025-11-26T13:12:21Z) - HAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking [80.07224739976911]
Event cameras offer exceptional temporal resolution and a range (modal)<n> RGB cameras excel at capturing rich texture with high resolution, whereas event cameras offer exceptional temporal resolution and a range (modal)
arXiv Detail & Related papers (2025-10-22T13:15:13Z) - X$^{2}$-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction [64.2059940799033]
Current methods discretize temporal resolution into fixed phases with respiratory gating devices.<n>X$2$-Gaussian, a novel framework, enables continuous-time 4DCT reconstruction by integrating dynamic radiative splatting with self-supervised respiratory motion learning.
arXiv Detail & Related papers (2025-03-27T17:59:57Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.