Surface Reconstruction
130 papers with code • 1 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Surface Reconstruction
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Surface Reconstruction models and implementations
SceneNet
ANIM
OMMO
OmniObject3D
Most implemented papers
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Totoro97/NeuS
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NeurIPS 2021
In NeuS, we propose to represent a surface as the zero-level set of a signed distance function (SDF) and develop a new volume rendering method to train a neural SDF representation.
Patch-based Progressive 3D Point Set Upsampling
yifita/3PU_pytorch
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CVPR 2019
We present a detail-driven deep neural network for point set upsampling.
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
It has been challenging to analyze signals with mixed topologies (for example, point cloud with surface mesh).
Controlling Neural Level Sets
In turn, the sample network can be used to incorporate the level set samples into a loss function of interest.
HumanMeshNet: Polygonal Mesh Recovery of Humans
3D Human Body Reconstruction from a monocular image is an important problem in computer vision with applications in virtual and augmented reality platforms, animation industry, en-commerce domain, etc.
Learned Point Cloud Geometry Compression
NJUVISION/PCGCv1
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This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a. k. a., Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using deep neural networks (DNN) based variational autoencoders (VAE).
Surface Reconstruction from 3D Line Segments
In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces.
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
iMED-Lab/WRB-Net
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We consider it to be the first work to detect angle-closure glaucoma by means of 3D representation.
Point2Skeleton: Learning Skeletal Representations from Point Clouds
clinplayer/Point2Skeleton
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CVPR 2021
We introduce Point2Skeleton, an unsupervised method to learn skeletal representations from point clouds.
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
zju3dv/NeuralRecon
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CVPR 2021
We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video.
