Searched for: subject%3A%22Neural%255C+Radiance%255C+Fields%22
(1 - 6 of 6)
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Enting, Marnix (author)
Neural Radiance Fields (NeRFs) have showcased remarkable effectiveness in capturing complex 3D scenes and synthesizing novel viewpoints. By inherently capturing the entire scene in a compact representation, they offer a promising avenue for applications such as simulators, where efficient storage of real-world data, fast rendering and dynamic...
master thesis 2024
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Găleşanu, Matei (author)
Neural Radiance Fields (NeRF) and their adaptations are known to be computationally intensive during both the training and the evaluating stages. Despite being the end goal, directly rendering a full-resolution representation of the scene is not necessary and not very practical for scenarios like streamed applications. Our goal is to design a...
bachelor thesis 2023
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Groenendijk, Jurre (author)
With the current state-of-the-art research, exporting a NeRF to a mesh has the side effect of having to evaluate a Multi Layer Perceptron at render-time, causing a significant decrease in performance. We have found a way to use K-Means clustering to pre-compute values for this MLP, storing them in multiple octahedron maps for the GPU to fetch...
bachelor thesis 2023
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Szilvásy, Medárd (author)
Radiance fields are a promising alternative to conventional 3D representations in the domain of novel view synthesis, with recent research achieving truly impressive photorealistic view synthesis results. In this paper, we deal with the concept of non-photorealistic rendering in the context of radiance fields, for generating more stylistic...
bachelor thesis 2023
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El Coudi El Amrani, Nafie (author)
Neural Radiance Fields (NeRFs) have demonstrated remarkable capabilities in photo-realistic 3D reconstruction. NeRFs often take as input posed images where the camera poses come from either off-the-shelf S\textit{f}M or online optimization together with NeRFs. However, we find that both strategies yield suboptimal results in recovering camera...
master thesis 2023
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Wang, Chuhan (author)
3D scene reconstruction is a common computer vision task with many applications. The synthesized virtual environments are beneficial for many downstream applications such as 3D modeling, building inspection, virtual reality, etc. As conventional scene reconstruction methods often require expensive data collections and prior information on the...
master thesis 2022
Searched for: subject%3A%22Neural%255C+Radiance%255C+Fields%22
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