LookCloser: Frequency-aware Radiance Field for Tiny-Detail Scene
Xiaoyu Zhang, Weihong Pan, Chong Bao, Xiyu Zhang, Xiaojun Xiang, Hanqing Jiang, Hujun Bao
2025年份
3顶会引用
摘要
Instant-NGP Mip-NeRF360 3DGS Ours Ground truth Instant-NGP Mip-NeRF360 3DGS Ground truth Ours Figure 1. FA-NeRF is a frequency-aware framework to capture both the overall scene structure and the high-definition tiny details within a single model, e.g., the clear petal of flowers and sharp texture of wings of the butterfly. Instead, other methods give an over-smooth rendering and lose excessive details. Please see the Supplementary Video for an immersive roaming experience.
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引用它的顶会 Paper3
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它引用的顶会 Paper30
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- Instant neural graphics primitives with a multiresolution hash encodingThomas Müller, Alex Evans, Christoph Schied, Alexander KellerSIGGRAPH 2022 · 被引用 4,089 次
- Implicit Neural Representations with Periodic Activation FunctionsVincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell 等NeurIPS 2020 · 被引用 4,008 次
- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman 等ICCV 2021 · 被引用 2,700 次
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view ReconstructionPeng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt 等NeurIPS 2021 · 被引用 2,500 次
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