3D Shape Generation
43 papers with code • 0 benchmarks • 1 datasets
Image: Mo et al
Benchmarks
These leaderboards are used to track progress in 3D Shape Generation
Combinatorial 3D Shape Dataset
Most implemented papers
Multi-chart Generative Surface Modeling
helibenhamu/multichart3dgans
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The new tensor data representation is used as input to Generative Adversarial Networks for the task of 3D shape generation.
3DN: 3D Deformation Network
Given such a source 3D model and a target which can be a 2D image, 3D model, or a point cloud acquired as a depth scan, we introduce 3DN, an end-to-end network that deforms the source model to resemble the target.
Learning to Dress 3D People in Generative Clothing
To our knowledge, this is the first generative model that directly dresses 3D human body meshes and generalizes to different poses.
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
We present a convolutional neural network for joint 3D shape prediction and viewpoint estimation from a single input image.
PolyGen: An Autoregressive Generative Model of 3D Meshes
deepmind/deepmind-research
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ICML 2020
Polygon meshes are an efficient representation of 3D geometry, and are of central importance in computer graphics, robotics and games development.
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
daerduoCarey/pt2pc
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ECCV 2020
3D generative shape modeling is a fundamental research area in computer vision and interactive computer graphics, with many real-world applications.
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
IGLICT/DSG-Net
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While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric details and complex structure, in a controllable manner.
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
This work laid the foundation for data-driven inverse design problems where we consider range constraints and there are sparse regions in the condition space.
3D Shape Generation and Completion through Point-Voxel Diffusion
We propose a novel approach for probabilistic generative modeling of 3D shapes.
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
liruihui/sp-gan
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We present SP-GAN, a new unsupervised sphere-guided generative model for direct synthesis of 3D shapes in the form of point clouds.
