3D Shape Reconstruction
59 papers with code • 2 benchmarks • 8 datasets
Pix3D
Hypersim
ApolloCar3D
4DFAB
HUMAN4D
FewSOL
Foot3D
3D-POP
Most implemented papers
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Intrinsic graph convolution operators with differentiable kernel functions play a crucial role in analyzing 3D shape meshes.
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
rozentill/Front2Back
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CVPR 2020
Reconstruction of a 3D shape from a single 2D image is a classical computer vision problem, whose difficulty stems from the inherent ambiguity of recovering occluded or only partially observed surfaces.
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
yinyunie/Total3DUnderstanding
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CVPR 2020
Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction.
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
To solve this, we propose Implicit Feature Networks (IF-Nets), which deliver continuous outputs, can handle multiple topologies, and complete shapes for missing or sparse input data retaining the nice properties of recent learned implicit functions, but critically they can also retain detail when it is present in the input data, and can reconstruct articulated humans.
Learning Local Neighboring Structure for Robust 3D Shape Representation
Mesh is a powerful data structure for 3D shapes.
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
On the contrary, we propose a model that extracts a CSG parse tree without any supervision - UCSG-Net.
3D Shape Reconstruction from Free-Hand Sketches
samaonline/3D-Shape-Reconstruction-from-Free-Hand-Sketches
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Additionally, we propose a sketch standardization module to handle different sketch distortions and styles.
3D Shape Reconstruction from Vision and Touch
facebookresearch/3D-Vision-and-Touch
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NeurIPS 2020
When a toddler is presented a new toy, their instinctual behaviour is to pick it upand inspect it with their hand and eyes in tandem, clearly searching over its surface to properly understand what they are playing with.
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
lkeab/gsnet
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ECCV 2020
GSNet utilizes a unique four-way feature extraction and fusion scheme and directly regresses 6DoF poses and shapes in a single forward pass.
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
facebookresearch/phosa
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ECCV 2020
We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment.
