implicit-representions
Here are 16 public repositories matching this topic...
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
-
Updated
Jun 27, 2024 - Python
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 a…
-
Updated
Jun 24, 2024 - Python
Implicit representation of various things using PyTorch and high order layers
-
Updated
May 29, 2024 - Python
This repository contains the dataset and implementation details of the paper "An In-depth Analysis of Implicit and Subtle Hate Speech Messages" accepted at EACL 2023.
-
Updated
May 9, 2024 - Python
Simple implementation and improvement of INRs
-
Updated
Mar 5, 2024 - Jupyter Notebook
With INR, we parameterize some signal (in our case images) with a neural network (in this assignment, we will use a basic feed-forward network).
-
Updated
Nov 9, 2023 - Jupyter Notebook
[ECCV'20] Convolutional Occupancy Networks
-
Updated
Jul 31, 2023 - Python
Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021
-
Updated
May 26, 2023 - Python
Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli
-
Updated
Apr 1, 2023 - Python
Revealing Occlusions with 4D Neural Fields (CVPR 2022 Oral) - Official Implementation
-
Updated
Jan 19, 2023 - Python
[ICCV21] Self-Calibrating Neural Radiance Fields
-
Updated
Aug 4, 2022 - Python
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction (CVPR 2022)
-
Updated
Jul 16, 2022 - Python
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
-
Updated
Nov 9, 2021 - Python
A list of resources about deep learning solutions on 3D shape processing
-
Updated
Aug 23, 2021
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
-
Updated
Jul 6, 2021 - Python
Improve this page
Add a description, image, and links to the implicit-representions topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the implicit-representions topic, visit your repo's landing page and select "manage topics."