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Showing 1 to 14 of 14 for “"Neural Radiance Fields"”.

  1. Not all views are equal: active neural radiance fields

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01

    uiuc Repository record for Not all views are equal: active neural radiance fields (opens in a new tab)

  2. 3D damage mapping and segmentation using neural radiance fields and advanced deep learning techniques

    … this research adopts the Nerfacto model from the Neural Radiance Fields (NeRF) within the Nerfstudio framework to enhance 3D reconstruction fidelity and utilizes strategically placed markers to improve camera pose accuracy. Additionally, the integration of the STRNet and Test Time Agumentation …

    manitoba Repository record for 3D damage mapping and segmentation using neural radiance fields and advanced deep learning techniques (opens in a new tab)

  3. Diver: real-time and accurate neural radiance fields with deterministic integration for volume rendering

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms

    uiuc Repository record for Diver: real-time and accurate neural radiance fields with deterministic integration for volume rendering (opens in a new tab)

  4. Geometric Approaches for 3-Dimensional Shape Approximation

    … this process is not generalizable or scalable. Neural Radiance Fields (NeRFs) are able to generate photorealistic 3D renderings of arbitrary objects based only on a few RGB images. 3D meshes that are extracted from NeRFs are often complex and hard to use in simulation. In this thesis we propose …

    mit Repository record for Geometric Approaches for 3-Dimensional Shape Approximation (opens in a new tab)

  5. Recreating Past Environments in Virtual Reality

    … in VR. In particular, we at Photogrammetry and Neural Radiance Fields as ways of representing 3D environments that can be converted into meshes and exported to VR. A technical evaluation compares the two methods and one is selected for use in our pipeline. Through a human-subjects study, we …

    mit Repository record for Recreating Past Environments in Virtual Reality (opens in a new tab)

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

    … rendering times compared to other methods like Neural Radiance Fields (NeRFs). Its applications outside of strictly novel view synthesis have also been explored, with monocular simultaneous localization and mapping (SLAM) in robotics being an emergent application. However, because of limited …

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

  7. Recovery of Herschel-Bulkley Fluid Parameters from Video via Differentiable Simulations

    … work introduces a novel method that combines neural radiance fields (NeRF), which map 3D scene coordinates to color and density using deep neural networks, with the material point method (MPM), a simulation technique that represents materials as moving points capable of large deformation. Our …

    mit Repository record for Recovery of Herschel-Bulkley Fluid Parameters from Video via Differentiable Simulations (opens in a new tab)

  8. Visual Terrain Relative Navigation: Pose Estimation, Neural Fields, and Verification

    … explore the question of whether newly emerging Neural Radiance Fields (NeRF) can be efficiently leveraged as a map for visual localization. We propose a NeRF-based localization pipeline coined Loc-NeRF which uses a particle filter backbone to perform monocular camera pose estimation utilizing …

    mit Repository record for Visual Terrain Relative Navigation: Pose Estimation, Neural Fields, and Verification (opens in a new tab)

  9. Principled Methods for Advancing Generative Machine Learning

    … higher efficiency than methods like neural radiance fields (NeRFs). Despite their remarkable success on standard benchmarks (e.g., text-to-image generation), current generative ML models often perform poorly in more challenging scenarios that violate their implicit mathematical …

    cambridge Repository record for Principled Methods for Advancing Generative Machine Learning (opens in a new tab)

  10. Trimačio objekto erdvinio modelio sukūrimas iš dvimačių vaizdų naudojant mašininį mokymąsi /

    … extracted camera view positions, we employ the Neural Radiance Field method (NeRF) to synthesize novel views and generate a point cloud much more detailed than that obtained by COLMAP. The model used in this study is same to the one presented in the original paper [4] introducing the concept of …

    vilnius Repository record for Trimačio objekto erdvinio modelio sukūrimas iš dvimačių vaizdų naudojant mašininį mokymąsi / (opens in a new tab)

  11. 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)

  12. Hardware acceleration of neural graphics

    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 Hardware acceleration of neural graphics (opens in a new tab)