Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Neural Rendering"”.
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Intelligent Treadmill Control and Holographic Rendering for Accessible Rehabilitation
… solutions. We adopted advanced neural rendering techniques to build a low-cost 3D patient reconstruction pipeline to enhance remote patient monitoring and engagement. Through these innovations, this dissertation contributes to making rehabilitation more accessible, affordable, …
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Neural Representation for robotics
… or incomplete geometric representations. Neural representations have recently demonstrated exceptional capabilities in Novel View Synthesis (NVS), effectively handling many scenarios where conventional depth cameras struggle. Moreover, unlike traditional methods requiring pre-existing CAD …
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Machine learning methods for architected materials
… materials. We design a Physics-constrained graph neural network which can predict the stiffness tensor of periodic lattices with arbitrary crystal symmetry. The predictions are always positive semi-definite and equivariant to rigid body transformations. Once large structures are designed, a …
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On Disentangled Analysis-by-Synthesis Shape Representations
… motivated by the primacy of differentiable rendering in modern AbS-based CV, we construct a novel representation of 3D shape, the Probabilistic Directed Distance Field (PDDF), capable of single-query geometric neural rendering. We provide a theoretical investigation of the PDDF, particularly …
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Building rearticulable models for 3D articulated objects from multi-view RGB videos
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Toward robust and efficient 3D reconstruction
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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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 …