3D Shape Reconstruction From A Single 2D Image
7 papers with code • 1 benchmarks • 1 datasets
Image: Liao et al
Benchmarks
These leaderboards are used to track progress in 3D Shape Reconstruction From A Single 2D Image
| Trend | Dataset | Best Model | Paper | Code | Compare |
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ApolloCar3D
Most implemented papers
Multi-Garment Net: Learning to Dress 3D People from Images
bharat-b7/MultiGarmentNetwork
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ICCV 2019
We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video.
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
A novel disentangled shape and appearance database of priors is first learned to embed objects in their respective shape and appearance space.
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
shunsukesaito/PIFu
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ICCV 2019
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
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.
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image.
Super-resolution 3D Human Shape from a Single Low-Resolution Image
marcopesavento/Super-resolution-3D-Human-Shape-from-a-Single-Low-Resolution-Image
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The approach overcomes limitations of existing approaches that reconstruct 3D human shape from a single image, which require high-resolution images together with auxiliary data such as surface normal or a parametric model to reconstruct high-detail shape.
