3D Object Reconstruction From A Single Image
11 papers with code • 2 benchmarks • 2 datasets
Image: Fan et al
Benchmarks
These leaderboards are used to track progress in 3D Object Reconstruction From A Single Image
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3D-POP
Latest papers with no code
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image
Solving the challenging problem of 3D object reconstruction from a single image appropriately gives existing technologies the ability to perform with a single monocular camera rather than requiring depth sensors.
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary clothing styles.
2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image
In this paper, we present our solution for the {\it IJCAI--PRICAI--20 3D AI Challenge: 3D Object Reconstruction from A Single Image}.
3D-FUTURE: 3D Furniture shape with TextURE
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories.
Attention-based 3D Object Reconstruction from a Single Image
Recently, learning-based approaches for 3D reconstruction from 2D images have gained popularity due to its modern applications, e. g., 3D printers, autonomous robots, self-driving cars, virtual reality, and augmented reality.
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
In this paper, we address the problem of reconstructing an object's surface from a single image using generative networks.
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
First, compared to full 3D shape, 2. 5D sketches are much easier to be recovered from a 2D image; models that recover 2. 5D sketches are also more likely to transfer from synthetic to real data.
