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Showing 1 to 12 of 12 for “"3d Gaussian Splatting"”.

  1. CableSplat: Optimized 3D Gaussian Splatting for 1D Deformable Pose Estimation

    … a novel non-parametric method leveraging 3D Gaussian Splatting to estimate the pose of a linear deformable object given RGB images of the object from multiple viewpoints. To facilitate the evaluation of the performance of this method, we develop both simulated and real-world pipelines to …

    mit Repository record for CableSplat: Optimized 3D Gaussian Splatting for 1D Deformable Pose Estimation (opens in a new tab)

  2. State estimation for autonomous mobile systems: Multi-IMU self-calibration and localization using 3D Gaussian splatting maps

    … research thrust addresses visual localization on 3D Gaussian Splatting (3DGS) as a map representation. I develop a visual localization method based on establishing feature point correspondences between a query image and a synthetic image rendered from an initial pose estimate. This method yields …

    uiuc Repository record for State estimation for autonomous mobile systems: Multi-IMU self-calibration and localization using 3D Gaussian splatting maps (opens in a new tab)

  3. Dynamic Scene Editing via Semantically Trained 3D Guassians

    Image-based 3D scene reconstruction continues to be a challenge as it involves solving both the sufficient 3D representation problem and the 3D reconstruction itself. One approach to tackle the rendering problem is 3D Gaussian Splatting because of its potential to produce fast and realistic renders …

    mit Repository record for Dynamic Scene Editing via Semantically Trained 3D Guassians (opens in a new tab)

  4. LARGE-SCALE NEURAL 3D SCENE RECONSTRUCTION, RENDERING, AND BEYOND

    This thesis advances neural 3D reconstruction into a scalable and robust process for real-world applications. While techniques like NeRF and 3D Gaussian Splatting (3DGS) show promise, they face challenges in scalability, robustness to imperfect camera poses, and consistency across distributed …

    nus Repository record for LARGE-SCALE NEURAL 3D SCENE RECONSTRUCTION, RENDERING, AND BEYOND (opens in a new tab)

  5. Hardware Acceleration for Real-Time Compression of 3D Gaussians

    3D Gaussian Splatting (3DGS) is a technique for novel view synthesis, where images of a scene from a specific viewpoint are generated using images from different viewpoints, that has gained popularity for its reduced computational overhead, resulting in faster training and rendering times compared …

    mit Repository record for Hardware Acceleration for Real-Time Compression of 3D Gaussians (opens in a new tab)

  6. Robust Scene and Object Generalization of Neural Policies Trained in Synthetic Environments

    … the real world. Our f irst approach integrates a 3D Gaussian Splatting radiance field with a quadrotor flight dynamics engine to generate high-quality, photorealistic training data. We design imitation learning schemes to train liquid time-constant neural networks on this data. Through rigorous …

    mit Repository record for Robust Scene and Object Generalization of Neural Policies Trained in Synthetic Environments (opens in a new tab)

  7. Language-Guided 4D Object Reconstruction from Videos

    … as it requires both detailed object 3D structure and accurate motion within a complex 3D environment. This thesis proposes a framework that converts object-centric monocular videos into 4D representations. The two primary challenges we aim to tackle are: 1) key object extraction from …

    ottawa-retro Repository record for Language-Guided 4D Object Reconstruction from Videos (opens in a new tab)

  8. Scaling 3D Scene Perception via Probabilistic Programming

    Understanding and interpreting the 3D structure of the world is a central challenge in artificial intelligence. Our physical world is 3D, yet our AI systems often “see” that world through pixels and images. In order to build truly intelligent AI systems, we must go beyond pixels and images and …

    mit Repository record for Scaling 3D Scene Perception via Probabilistic Programming (opens in a new tab)

  9. Addressing Challenges in Object-Based Robot Navigation and Mapping

    … an ambiguity-aware object SLAM method. We use Gaussian max-mixture models to represent and efficiently track the multiple object pose hypotheses, and gradually disambiguate the poses to construct a globally consistent object-level map. The second challenge is the performance degradation of …

    mit Repository record for Addressing Challenges in Object-Based Robot Navigation and Mapping (opens in a new tab)

  10. Dynamic 3D Gaussian tracking for graph-based neural dynamics modeling

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms

    uiuc Repository record for Dynamic 3D Gaussian tracking for graph-based neural dynamics modeling (opens in a new tab)

  11. Enhancing complex technical environment training with immersive digital twins

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-08-01

    uiuc Repository record for Enhancing complex technical environment training with immersive digital twins (opens in a new tab)

  12. Modeling and editing 4D scenes by leveraging structural priors

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

    uiuc Repository record for Modeling and editing 4D scenes by leveraging structural priors (opens in a new tab)