3D Scene Reconstruction ML Frameworks
Research implementations for multi-view 3D reconstruction, surface normal estimation, and neural scene understanding from images or point clouds. Does NOT include general 3D modeling tools, mesh editing software, or applications focused primarily on object detection or segmentation.
There are 35 3d scene reconstruction frameworks tracked. 2 score above 50 (established tier). The highest-rated is openspyrit/spyrit at 52/100 with 62 stars.
Get all 35 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=3d-scene-reconstruction&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
openspyrit/spyrit
A Python toolbox for deep image reconstruction, with emphasis on... |
|
Established |
| 2 |
RobotLocomotion/pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By... |
|
Established |
| 3 |
Fyusion/LLFF
Code release for Local Light Field Fusion at SIGGRAPH 2019 |
|
Emerging |
| 4 |
pmh47/dirt
DIRT: a fast differentiable renderer for TensorFlow |
|
Emerging |
| 5 |
marrlab/SHAPR_torch
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological... |
|
Emerging |
| 6 |
natowi/3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction |
|
Emerging |
| 7 |
xcyan/nips16_PTN
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets |
|
Emerging |
| 8 |
mabaorui/NeuralPull
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions... |
|
Emerging |
| 9 |
DLR-RM/shape-completion
Code and Datasets for 3D Shape Completion related publications |
|
Emerging |
| 10 |
maria-korosteleva/Garment-Pattern-Estimation
Reconstructing garment sewing patterns from 3D point clouds |
|
Emerging |
| 11 |
referit3d/referit3d
Code accompanying our ECCV-2020 paper on 3D Neural Listeners. |
|
Emerging |
| 12 |
holistic-3d/awesome-holistic-3d
A list of papers and resources (data,code,etc) for holistic 3D... |
|
Emerging |
| 13 |
3d-morphable-models/curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D... |
|
Emerging |
| 14 |
wkqscut/3D-Object-Reconstrution
A curated list of awesome Single-view 3D Object Reconstruction papers & resources |
|
Emerging |
| 15 |
huangjh-pub/neural-galerkin
[SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstruction |
|
Emerging |
| 16 |
doubleZ0108/MVS
Multi-View Stereo based on deep learning. | Learning notes, codes and more. |
|
Emerging |
| 17 |
raphaelsulzer/dgnn
[SGP 2021] Scalable Surface Reconstruction with Delaunay-Graph Neural Networks |
|
Emerging |
| 18 |
philippwulff/Deep3DComp
3D-shape compression with a shape-coded auto-decoder and sinusoidal activations. |
|
Emerging |
| 19 |
zxhuang1698/ZeroShape
Code repository for "ZeroShape: Regression-based Zero-shot Shape Reconstruction". |
|
Emerging |
| 20 |
karoly-hars/3D_scene_reconstruction_CNNs
Utilizing CNNs for driving scene reconstruction from single images. |
|
Emerging |
| 21 |
threedle/3DHighlighter
Localizing Regions on 3D Shapes via Text Descriptions |
|
Emerging |
| 22 |
mabaorui/NeuralPull-Pytorch
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions... |
|
Emerging |
| 23 |
Melon-Xu/PSTLFusion
Source Code for paper "Infrared and Visible Image Fusion via Parallel Scene... |
|
Experimental |
| 24 |
manycore-research/cstr
[arXiv prepreint] Deep Learning Assisted Optimization for 3D Reconstruction... |
|
Experimental |
| 25 |
MasterHow/CSFlow
[IV2022] pytorch implementation for 'CSFlow: Learning Optical Flow via Cross... |
|
Experimental |
| 26 |
yzy1996/Awesome-Learn-3D-From-2D
A collection of resources on learning 3D object from 2D images. |
|
Experimental |
| 27 |
mabaorui/Noise2NoiseMapping
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds... |
|
Experimental |
| 28 |
yknishidate/morecon
MoRecon - A tool for reconstructing missing frames in motion capture data |
|
Experimental |
| 29 |
Colin97/DeepMetaHandles
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with... |
|
Experimental |
| 30 |
AndresCasado/pergamo
Code for PERGAMO, a two step approach to learn deformable models |
|
Experimental |
| 31 |
lionlai1989/Learning-3D-Computer-Vision
Tutorials of deep learning-based 3D computer vision. |
|
Experimental |
| 32 |
EasyRy/CRA-PCN
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution... |
|
Experimental |
| 33 |
asprasan/awesome-lf-image-video
List of resources for LF image and video reconstruction |
|
Experimental |
| 34 |
pythonicforge/triposr-implementation
🧠Reimplementation of TripoSR for 2D-to-3D object reconstruction using Colab... |
|
Experimental |
| 35 |
leahlyu22/Outdoor-3d-Scene-Reconstruction
Combine URF with neural-scene-graphs for dynamic scenes |
|
Experimental |