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Search results for deep learning implicit representions
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4 search results found
Scnerf
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339
[ICCV21] Self-Calibrating Neural Radiance Fields
Awsome_deep_geometry_learning
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181
A list of resources about deep learning solutions on 3D shape processing
Shapo
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141
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Occlusions 4d
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66
Revealing Occlusions with 4D Neural Fields (CVPR 2022) - Official Implementation
If Defense
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28
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
High Order Layers Torch
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9
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.
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