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Survey on Fundamental Deep Learning 3D Reconstruction Techniques

Survey on Fundamental Deep Learning 3D Reconstruction Techniques

Yonge Bai
LikHang Wong
TszYin Twan
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Papers citing "Survey on Fundamental Deep Learning 3D Reconstruction Techniques"

3 / 3 papers shown
Title
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
Qian Zhang
Seung-Hwan Baek
Szymon Rusinkiewicz
Felix Heide
113
91
0
28 May 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
312
4,012
0
16 Jan 2022
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
131
3,683
0
16 Jan 2019

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