Make-It-3D
learning-topology-synthetic-data
Make-It-3D | learning-topology-synthetic-data | |
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1 | 5 | |
1,693 | 37 | |
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6.9 | 4.3 | |
7 months ago | 10 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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Make-It-3D
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Meet Make-it-3D: An Artificial Intelligence (AI) Framework For High-Fidelity 3D Object Generation From A Single Image
Github: https://github.com/junshutang/Make-It-3D
learning-topology-synthetic-data
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Want to use synthetic data, but don't want to deal with domain gap?
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
paper: https://arxiv.org/pdf/2106.02994.pdf
Here are some of the reconstructions produced by our method:
https://github.com/alexklwong/learning-topology-synthetic-da...
https://github.com/alexklwong/learning-topology-synthetic-da...
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[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data
What are some alternatives?
DreamCraft3D - [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
NeuralRecon - Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
SegmentAnythingin3D - Segment Anything in 3D with NeRFs (NeurIPS 2023)
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
AvatarPoser - Official Code for ECCV 2022 paper "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing"
DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars