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Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3D scene reconstructions of objects and large-scale scenes.
Decentred lens-systems
Alexander Eugen Conrady. 1919 · 1919
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Neural rerendering in the wild
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Earlier work this paper cites.
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Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li. 2019 · 2019
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Neural reflectance fields for appearance acquisition
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Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
Wenjing Bian, Zirui Wang, Kejie Li, Jia-Wang Bian, and Victor Adrian Prisacariu. 2022 · 2022
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GARF: gaussian activated radiance fields for high fidelity reconstruction and pose estimation
Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, and Simon Lucey. 2022 · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
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Focal length and object pose estimation via render and compare
Georgy Ponimatkin, Yann Labbé, Bryan Russell, Mathieu Aubry, and Josef Sivic. 2022 · 2022
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NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields
Antoni Rosinol, John J Leonard, and Luca Carlone. 2022 · 2022
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
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Gnerf: Gan-based neural radiance field without posed camera
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Nerfies: Deformable neural radiance fields
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Computer vision: algorithms and applications
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Block-nerf: Scalable large scene neural view synthesis
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Sinerf: Sinusoidal neural radiance fields for joint pose estimation and scene reconstruction
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Nice-slam: Neural implicit scalable encoding for slam
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Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2023 · 2023
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DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
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Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
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Progressively Optimized Local Radiance Fields for Robust View Synthesis
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Radiance Field Gradient Scaling for Unbiased Near-Camera Training
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SPARF: Neural Radiance Fields from Sparse and Noisy Poses
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