Results 21 to 30 of about 10,601 (230)
, 1875 PHYSIOLOGIE DU NERF TRIJUMEAU Physiologie du nerf trijumeau (1) (-
Bernard, Claude
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Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations
CoRR, 2023 While Neural Radiance Fields (NeRFs) had achieved unprecedented novel view synthesis results, they have been struggling in dealing with large-scale cluttered scenes with sparse input views and highly view-dependent appearances. Specifically, existing NeRF-based models tend to produce blurry rendering with the volumetric reconstruction often inaccurate,
Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang
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Open-NeRF: Towards Open Vocabulary NeRF Decomposition [PDF]
, 2023 In this paper, we address the challenge of decomposing Neural Radiance Fields (NeRF) into objects from an open vocabulary, a critical task for object manipulation in 3D reconstruction and view synthesis.
Li, Fang, Zhang, Hao, Ahuja, Narendra
core
Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields [PDF]
, 2023 Text-driven localized editing of 3D objects is particularly difficult as locally mixing the original 3D object with the intended new object and style effects without distorting the object's form is not a straightforward process. To address this issue, we
Choi, Seokhun +4 more
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NeRF for Outdoor Scene Relighting
, 2022 Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflectance and illumination. A delicate manipulation of the lighting can then be performed while keeping the scene albedo and geometry unaltered.
Viktor Rudnev +5 more
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NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors
CoRR, 2022 Though Neural Radiance Field (NeRF) demonstrates compelling novel view synthesis results, it is still unintuitive to edit a pre-trained NeRF because the neural network's parameters and the scene geometry/appearance are often not explicitly associated.
Hao-Kang Liu +2 more
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Flow Supervision for Deformable NeRF
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 In this paper we present a new method for deformable NeRF that can directly use optical flow as supervision. We overcome the major challenge with respect to the computationally inefficiency of enforcing the flow constraints to the backward deformation field, used by deformable NeRFs.
Chaoyang Wang 0001 +3 more
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A new method for reconstructing building model using machine learning
Journal of Intelligent ConstructionThree-dimensional (3D) model reconstruction is used in an increasing number of fields related to construction, such as urban planning, mobile communication planning, and solar power assessment.
Shengjie Wu +5 more
doaj +1 more source
Remote Sensing, 2023 3D reconstruction of urban scenes is an important research topic in remote sensing. Neural Radiance Fields (NeRFs) offer an efficient solution for both structure recovery and novel view synthesis.
Xuanzhu Chen +4 more
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