2dimageto3dmodel
Pix2Vox
Our great sponsors
| 2dimageto3dmodel | Pix2Vox | |
|---|---|---|
| 1 | 1 | |
| 265 | 439 | |
| - | - | |
| 3.7 | 3.5 | |
| about 2 months ago | 3 months ago | |
| Python | Python | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
2dimageto3dmodel
-
What's the best software for making an interactable 3D app?
As for the app, I feel like I have a really good and unique idea so I don't want to explain it very thoroughly, but essentially I want it to be available on my website and on the app store. Ideally, I want it to scale up and become something big, I feel the scalability for the idea is pretty good so I would hope it doesn't stay a small project. Another specificity that I feel is important is that I want to take a series of 2D images and turn it into a 3D model that can then be manipulated and deformed. There are libraries on GitHub for predictively turning a 2D image into a 3D render like here. I have a hunch this would be incredibly difficult and time-consuming to turn into an app, but I wonder if something like this could even be implemented in unity. I haven't used much GitHub really at all though, and I'm not even sure whether or not I could use someone's code like this on an app and then profit off of it legally, I'm just trying to understand all of this.
Pix2Vox
-
[need help] I am trying to do 3d object reconstruction using rgbd images from kinnect device.
I am trying to achieve what this paper is doing https://github.com/hzxie/Pix2Vox but this paper is using only RGB images. I want to introduce depth in it as well. So for example, I will place a cup on table and get its different snapshots from different orientations using the Kinnect 2 device. These images will be passed through some pipeline of algorithms (can be ml or dl) to get Voxels (cup or object as a volume).
What are some alternatives?
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
3D-Machine-Learning - A resource repository for 3D machine learning
IGR - Implicit Geometric Regularization for Learning Shapes
APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
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)
neural-deferred-shading - Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
PIFu - This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
polygonjs - node-based WebGL design tool