Projects in Awesome Lists tagged with implicit-representions
A curated list of projects in awesome lists tagged with implicit-representions .
https://github.com/autonomousvision/convolutional_occupancy_networks
[ECCV'20] Convolutional Occupancy Networks
3d-deep-learning 3d-reconstruction eccv-2020 implicit-representions neural-fields point-clouds scene-representations surface-reconstruction
Last synced: 12 Apr 2025
https://github.com/autonomousvision/differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
3d-deep-learning 3d-reconstruction cvpr-2020 cvpr2020 differentiable-rendering dvr implicit-representions mesh-generation novel-view-synthesis
Last synced: 04 Apr 2025
https://postech-cvlab.github.io/SCNeRF/
[ICCV21] Self-Calibrating Neural Radiance Fields
calibration computer-vision deep-learning implicit-representions nerf pytorch self-calibration
Last synced: 21 Nov 2025
https://github.com/POSTECH-CVLab/SCNeRF
[ICCV21] Self-Calibrating Neural Radiance Fields
calibration computer-vision deep-learning implicit-representions nerf pytorch self-calibration
Last synced: 21 Jul 2025
https://github.com/postech-cvlab/scnerf
[ICCV21] Self-Calibrating Neural Radiance Fields
calibration computer-vision deep-learning implicit-representions nerf pytorch self-calibration
Last synced: 05 Apr 2025
https://github.com/subeeshvasu/awsome_deep_geometry_learning
A list of resources about deep learning solutions on 3D shape processing
3d-models 3d-reconstruction 3d-representation 3d-shapes implicit-representions meshes point-cloud primitives shapes-learning voxels
Last synced: 25 Jan 2026
https://github.com/subeeshvasu/Awsome_Deep_Geometry_Learning
A list of resources about deep learning solutions on 3D shape processing
3d-models 3d-reconstruction 3d-representation 3d-shapes implicit-representions meshes point-cloud primitives shapes-learning voxels
Last synced: 10 Apr 2025
https://github.com/zubair-irshad/shapo
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
3d-computer-vision 3d-detection 3d-vision 6dof-pose computer-vision deep-learning implicit-neural-representation implicit-representions neural-fields optimization pose-estimation pytorch robotics scene-understanding shape-reconstruction signed-distance-functions texture-synthesis
Last synced: 05 Sep 2025
https://github.com/ShivamDuggal4/TARS3D
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction (CVPR 2022)
3d-reconstruction correspondences cvpr2022 deformations implicit-representions neural-fields single-view-reconstruction topology
Last synced: 08 May 2025
https://github.com/Wuziyi616/IF-Defense
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
3d-attack 3d-reconstruction adversarial-machine-learning deep-learning defense dgcnn implicit-representions point-cloud pointconv pointnet pointnet2 pytorch rs-cnn
Last synced: 21 Nov 2025
https://github.com/juliageometry/descartes.jl
Software Defined Solid Modeling
cad implicit-representions solid-modeling
Last synced: 19 Apr 2025
https://github.com/jloveric/high-order-layers-torch
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.
chebyshev-polynomials deeplearning discontinuous fluid-dynamics fourier-series grid high-order-methods hp-refinement implicit-representions lagrange-polynomial-interpolation piecewise-polynomial pytorch pytorch-lightning sparse-network spline
Last synced: 21 Aug 2025
https://github.com/jloveric/high-order-implicit-representation
Implicit representation of various things using PyTorch and high order layers
coordinate-mlp discontinuous-polynomial-network fourier-series-network high-order-methods implicit-representions kan lagrange-interpolation neural-network piecewise-polynomial piecewise-polynomial-network pytorch
Last synced: 15 Oct 2025
https://github.com/yannick-kees/shape-space-learning
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
ambrosio-tortorelli deep-learning implicit-neural-representation implicit-representions modica-mortola pytorch shape-space surface-reconstruction
Last synced: 19 May 2026