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3D Shape Generation

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Showing 51–75 of 105 papers

TitleStatusHype
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for RoboticsCode0
Shape Completion using 3D-Encoder-Predictor CNNs and Shape SynthesisCode0
StructureNet: Hierarchical Graph Networks for 3D Shape GenerationCode0
SurfNet: Generating 3D shape surfaces using deep residual networksCode0
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation—0
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement—0
3D Shape Generation with Grid-based Implicit Functions—0
Multi-scale Latent Point Consistency Models for 3D Shape Generation—0
MVDD: Multi-View Depth Diffusion Models—0
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane—0
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation—0
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation—0
HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation—0
Geometric Disentanglement for Generative Latent Shape Models—0
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors—0
FullFormer: Generating Shapes Inside Shapes—0
Parameterize Structure with Differentiable Template for 3D Shape Generation—0
3D Shape Generation: A Survey—0
Few-shot 3D Shape Generation—0
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability—0
Pushing the Limits of 3D Shape Generation at Scale—0
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models—0
Rank3DGAN: Semantic mesh generation using relative attributes—0
Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs—0
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping—0
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