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NeuS: Learning Neural Implicit Surfaces by Volume Rendering for
  Multi-view Reconstruction
v1v2v3 (latest)

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Neural Information Processing Systems (NeurIPS), 2021
20 June 2021
Peng Wang
Lingjie Liu
Yuan Liu
Christian Theobalt
Taku Komura
Wenping Wang
ArXiv (abs)PDFHTML

Papers citing "NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction"

50 / 1,421 papers shown
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IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
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PRM: Photometric Stereo based Large Reconstruction Model
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MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and
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Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction
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348
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06 Dec 2024
Pushing Rendering Boundaries: Hard Gaussian Splatting
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Birth and Death of a Rose
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CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
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Planar Gaussian Splatting
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F. G. Zanjani
H. Cai
Hanno Ackermann
Leila Mirvakhabova
Fatih Porikli
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309
6
0
02 Dec 2024
CRAYM: Neural Field Optimization via Camera RAY Matching
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263
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370
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206
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476
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Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
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465
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275
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377
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